Solutions Engineer (Presales) at Hevo Data · Bengaluru (Bangalore) · 2 - 6 years · ₹12L - ₹17L / yr (ESOP available) · Raised funding · Posted 6 Oct 2026

As a Solutions Engineer/Sales Engineer, you will act as a trusted technical advisor to prospective customers in the US market. You will own the technical evaluation journey end-to-end, from the first discovery call to closing the deal, by demonstrating how our platform solves real-world data integration challenges. This role involves working closely with global customers (primarily North America ), designing scalable architectures, running tailored product demos, and building proofs-of-concept that showcase value.
Responsibilities:
- Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints. These are global conversations, primarily with customers in North America and Europe, and you will own them end-to-end.
- Design and present reference architectures showing how Hevo fits into their existing data stack (e. g., Salesforce, Postgres, GA4 Snowflake, dbt).
- Run live product demos tailored to the customer's stack. These are not scripted walkthroughs. You will need to read the room, adapt on the fly, and handle unexpected technical questions with confidence.
- Own the technical evaluation from the first conversation to the closed deal by addressing deep technical questions and earning trust with engineering teams.
- Build proofs-of-concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
- Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure (AWS Glue, Azure Data Factory, Google Cloud Dataflow) as well as other data pipeline and integration platforms, and articulate Hevo's technical advantages in a way that lands with both technical and non-technical buyers.
- Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs after a deal closes.
- Share customer feedback and patterns with Product and Engineering to influence the roadmap.
Requirements:
- 2 to 6 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.
- Experience building and operating real data pipelines in production, including handling source schema changes, failures, and reliability issues.
- Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
- Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).
- Exceptional communication and presentation skills.
- This is non-negotiable. You will be the face of Hevo's technical capability to a global customer base. That means:
- Your spoken English is clear, confident, and easy to follow for an international audience.
- You are comfortable presenting to groups of 5 to 15 people, including senior technical leaders, over video calls.
- You can structure a technical narrative, not just answer questions but guide a conversation toward the right conclusion.
- You can hold your own when a customer pushes back or challenges your recommendation.
- You have presented or demoed something technical to an audience before, in any context: internal reviews, client calls, meetups, or conferences.
- Genuine interest in customer-facing work, even if you have not done it formally before.
Good to have:
- Experience with CDC tools or data integration platforms, whether cloud-native (AWS Glue, Azure Data Factory, or Google Cloud Dataflow) or third-party pipeline and integration tools.
- Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.
- Public technical writing, conference talks, or open-source contributions.
- Prior experience in customer conversations, even informally. For example, presenting to internal stakeholders or analytics teams or working with international teams across time zones.

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We are hiring a Presales Engineer to help customers understand and adopt our solutions.
Responsibilities
- Run technical demos and proof-of-concepts
- Answer RFPs and RFIs
- Design solutions that match customer requirements
- Work with sales to plan and close deals
Requirements
- 2+ years in presales or solution consulting
- Strong technical and presentation skills
- Experience with SaaS or enterprise software
About the Role
We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.
This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.
As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.
This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.
Key Responsibilities
Customer Discovery & Solutioning
- Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
- Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
- Translate business requirements into high-level cloud and AI solution architectures.
- Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.
Cloud Transformation Consulting
- Support customer initiatives across:
- Cloud Migration
- Application Modernization
- DevOps Transformation
- Managed Services
- Security & Compliance
- Resilience & Disaster Recovery
- Conduct cloud assessments and migration readiness evaluations.
- Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
- Leverage AWS programs and frameworks such as:
- Migration Acceleration Program (MAP)
- AWS Well-Architected Framework (WAFR)
- Foundational Technical Review (FTR)
AI & GenAI Solution Consulting
- Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
- Participate in AI discovery workshops and business value discussions.
- Support solution design for AI-powered applications leveraging AWS AI services.
- Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
- Assist customers in identifying suitable use cases for:
- Generative AI
- AI Assistants
- Knowledge Management Solutions
- Intelligent Automation
- Conversational AI
Proposal Development & Technical Presales
- Collaborate with Solution Architects to create:
- Technical Proposals
- Architecture Diagrams
- Effort Estimates
- Statements of Work (SOWs)
- Technical Responses to RFPs/RFIs
- Present solutions, recommendations, and technical approaches to customer stakeholders.
- Support Proof of Concepts (PoCs), demonstrations, and technical validations.
- Participate in technical reviews and solution walkthroughs.
Customer Engagement & Thought Leadership
- Attend customer meetings jointly with Sales teams to provide technical expertise.
- Build credibility and trust with customer technical and business stakeholders.
- Contribute to webinars, workshops, technical presentations, and customer-facing events.
- Write blogs, case studies, solution briefs, and technical content that supports business growth.
- Maintain an active presence in cloud and AI communities.
Collaboration & Knowledge Management
- Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
- Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
- Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
- Contribute to internal capability building and knowledge-sharing initiatives.
Travel & Customer Interaction
- Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
- Represent Comprinno professionally during all customer-facing interactions.
Required Qualifications & Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
- Strong understanding of AWS cloud services across:
- Compute
- Networking
- Storage
- Security
- Databases
- Knowledge of cloud migration and modernization frameworks such as AWS MAP.
- Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
- Understanding of:
- Kubernetes
- Containerization
- Cloud-Native Architectures
- DevOps Practices
- Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
- Ability to create:
- Solution Documents
- Architecture Diagrams
- Technical Proposals
- Effort Estimates
- Statements of Work
- Understanding of Generative AI concepts including:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Assistants
- Agentic AI Concepts
- Familiarity with AWS AI services such as:
- Amazon Bedrock
- Amazon SageMaker
- Amazon Q
- AWS Solutions Architect – Professional Certification.
- Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
- Familiarity with AI frameworks such as:
- LangChain
- LangGraph
- CrewAI
- OpenAI APIs
- Anthropic APIs
- Strong communication, presentation, and stakeholder management skills.
- Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
- Experience contributing to webinars, blogs, case studies, or technical marketing content.
- AWS Solutions Architect – Associate Certification (Mandatory).
- Customer-centric mindset with strong problem-solving abilities.
Desired Qualifications & Skills
- AWS Specialty Certifications such as:
- Security Specialty
- Advanced Networking Specialty
- Machine Learning Specialty
- DevOps Engineer Professional
- Understanding of compliance frameworks such as:
- ISO 27001
- SOC 2
- HIPAA
- MBA or equivalent business qualification.
- Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.
What We're Looking For
- Strong consulting mindset with the ability to understand customer business challenges.
- Excellent communication and presentation skills.
- Ability to balance technical depth with business value articulation.
- Passion for cloud technologies, AI, and emerging innovation.
- Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
- High ownership and accountability.
- Curiosity and continuous learning mindset.
- Willingness to travel and work from customer locations across India and internationally as required by project engagements.
What Success Looks Like
- Consistently contributes to qualified pipeline creation and deal progression.
- Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
- Builds credibility with customers through strong technical consulting and solution design.
- Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
- Develops reusable presales assets, assessment frameworks, and solution accelerators.
- Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
- Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.
Why Join Comprinno
- Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
- Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
- Collaborate directly with enterprise customers and influence strategic technology decisions.
- Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
- Contribute to innovative solutions including Tevico and future AI-powered offerings.
- Build thought leadership through webinars, blogs, events, and community participation.
- Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.
Presales Engineer – Cloud & AI — Comprinno, Bangalore (3–5 yrs experience)
Role: Bridges Sales, Solution Architects, Data & AI, and Delivery teams — shaping technical solutions, driving discovery conversations, and translating customer needs into cloud/AI architectures.
Core responsibilities:
- Customer discovery workshops, cloud assessments, and migration readiness evaluations
- Cloud transformation consulting (migration, modernization, DevOps, security, DR) using AWS frameworks (MAP, WAFR, FTR)
- AI/GenAI solution consulting — identifying use cases for GenAI, AI Assistants, Agentic AI, conversational AI
- Building technical proposals, architecture diagrams, SOWs, RFP/RFI responses
- Supporting PoCs, demos, and technical validations
- Customer-facing engagement, thought leadership (blogs, webinars, case studies)
- Maintaining reusable presales assets and knowledge repositories
- Travel for customer meetings/workshops as needed
Must-have qualifications:
- Bachelor's in CS/IT/Engineering or related
- Strong AWS knowledge (compute, networking, storage, security, databases)
- Kubernetes, containerization, cloud-native architecture, DevOps, IaC (Terraform/CloudFormation)
- GenAI concepts: LLMs, prompt engineering, RAG, AI assistants, Agentic AI
- Familiarity with Bedrock, SageMaker, Amazon Q; LangChain, LangGraph, CrewAI, OpenAI/Anthropic APIs
- AWS Solutions Architect – Associate Certification (mandatory)
- Strong communication/stakeholder management
Nice-to-have: AWS specialty certs (Security, ML, Networking, DevOps Pro), compliance knowledge (ISO 27001, SOC 2, HIPAA), MBA, published thought leadership.
Data Engineer
Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience: 3-5 years
Role Overview
What We’re Looking For:
- Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
- Experience designing and shipping cloud services products.
- Experience driving and managing technical and architectural dependencies on AWS Cloud.
- A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
- Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
- Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
- Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
- Proficiency in programming languages such as Python.
- Strong analytical and problem-solving skills.
Required Skills & Experience
- Experience with Python, SQL, and data visualization/exploration tools.
- Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
- Communication skills, especially for explaining technical concepts to nontechnical business leaders.
- Ability to work on a dynamic, research-oriented team that has concurrent projects.
- Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
- Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
- Excellent leadership, stakeholder management, and communication skills.
What We Offer
- Work with some of the brightest minds in the emerging EV industry.
- Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
- Freedom to suggest, implement, and innovate on systems, processes, and technologies.
- Daily ownership in a high-growth, challenging environment.
- Flexible work environment with hybrid schedules and virtualization options.
- Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.
Key Responsibilities
- Drive sales of the company's SaaS, technology and digital products.
- Understand customer requirements, business challenges and technical needs to recommend suitable solutions.
- Conduct product demonstrations, presentations and solution walkthroughs for prospective clients.
- Work closely with Product, Technology and Sales teams to develop effective customer solutions.
- Manage the sales cycle from lead generation and discovery to negotiation and closure.
- Build and maintain strong relationships with clients and identify upselling/cross-selling opportunities.
- Achieve assigned sales, revenue and business targets.
Requirements
- 4–6 years of experience in Product sales or Technology Sales.
- Mandatory: Strong understanding of SaaS products and technology.
- Candidates from product-based technology/SaaS companies will be preferred.
- Strong technical aptitude with the ability to understand and explain technology products.
- Proven ability to conduct product demos and presentations independently.
- Strong B2B sales, communication, negotiation and client-handling skills.
- Ability to translate technical features into clear business benefits and value propositions.
Data Engineer
Experience - 5+ years
6-7 LPA
Remote
Duration: 1 month contract (We can take as a tentative, It can be extended)
Scope: Subscriber Activation, Churn, FTE and future reporting requirements, with BigQuery as the centralized data warehouse and Power BI as the proposed reporting layer.
Key Skills:
Strong hands-on experience with GCP & BigQuery
Data warehouse architecture, design and implementation
Data ingestion/integration across multiple source systems
ETL/ELT and data pipeline development
Data modelling for reporting and analytics
Experience integrating BigQuery with Power BI or similar reporting tools
Location: Hyderabad / Chennai
Experience: 5+ years
Employment type: Full-time, permanent
Work Hours: General Shift
website: www.amazech.com
Qualifications:
- B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Data Science, or related disciplines.
- Strong academic background with relevant industry experience in Data Engineering and Data Warehousing.
Key Responsibilities:
· Design, develop, and maintain scalable data warehouse solutions using Snowflake.
· Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.
· Develop and support ETL processes using Talend to ensure reliable and efficient data movement.
· Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.
· Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.
· Debug and troubleshoot Python-based data processing scripts and automation workflows.
· Implement best practices for data quality, testing, deployment, and code reviews.
· Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.
· Monitor, optimize, and maintain data warehouse performance and operational stability.
· Create and maintain technical documentation, data models, and process workflows.
Required Skills and Experience:
· Strong hands-on expertise in Snowflake Data Warehouse.
· Advanced SQL skills with experience handling large-scale datasets.
· Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.
· Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.
· Experience developing and maintaining ETL solutions using Talend.
· Proficiency in Python for scripting, debugging, automation, and data processing.
· Experience integrating UI, API, and Data Warehouse workflows.
· Strong problem-solving and analytical skills.
· Experience with testing, code reviews, and deployment best practices.
· Excellent communication and stakeholder management skills.
We are looking for a Snowflake Data Engineer to build and optimise our cloud data warehouse.
Responsibilities
- Design schemas and data models in Snowflake
- Build ELT pipelines with dbt and Python
- Tune warehouse performance and cost
- Manage access, security and data sharing
Requirements
- 2+ years with Snowflake
- Strong SQL and data modelling skills
- dbt experience is a plus

About the Role
You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.
Key Responsibilities
- Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
- Design and optimize data models for AI and machine learning workloads.
- Develop reliable data foundations for MLOps, governance, and data lineage.
- Integrate data from multiple sources into modern data platforms.
- Leverage Snowpark ML and Snowflake's native AI capabilities.
- Ensure data platforms are secure, scalable, and high-performing.
What We're Looking For
- 5+ years of hands-on experience with Snowflake.
- Strong proficiency in SQL and Python.
- Experience with AWS, Azure, or GCP.
- Knowledge of cloud storage services such as S3, ADLS, or GCS.
- Strong understanding of Dimensional Modeling and Data Vault.
- Experience with Scala or Java is a plus.
Tech Stack
- Data Warehouse: Snowflake
- Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
- Cloud: AWS, Azure, GCP
- Storage: S3, ADLS, GCS
- AI/ML: Snowpark ML, MLOps
Perks & Benefits
- Public Speaking & Communication Program
- Mentoring Program with Senior Support Leads
- 360° Progress Reviews
- Weekly Learning Sessions & Guilds
- Paid Certifications
- Hackathons & Innovation Days
- Recognition & Rewards Programs
- Team Socials & Annual Offsites
- Employee Assistance Program (24/7 Wellbeing Support)
The Data People Shaping Tomorrow
Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Overview:
We are looking for a Principal Architect for a Private Equity backed, fast growing AI First Product Engineering Services firm.
This role will be a key member of the core leadership team of the firm.
He/ She will serve as a strategic technical leader, solution designer, and customer advisor. In this role, you will combine deep and broad-based technical expertise with strong business acumen to architect high-value solutions, lead pre-sales engagements, and mentor our practice/CoE team. You will work closely with customers to understand their business needs, translate them into scalable technical solutions, and guide delivery teams in successful implementation.
Responsibilities:
1. Solutioning & Pre-Sales
● Engage with customers, understand their business context, and guide them through a discovery and design process leading to a proposed solution
● Work with sales teams to develop winning proposals, RFP responses, and technical presentations.
● Will need to take single point ownership of the pre sales process, including client interactions, proposal preparation, presentations, pricing etc
● Drive proof-of-concepts as part of the pre sales process
● Build frameworks for different kinds of proposals and presentations to bring in repeatability and efficiency in the process
● Work closely with marketing to create content around Indexnine offerings, solutions, capabilities and case studies
2. Delivery
● Provide technical oversight during project delivery, ensuring adherence to architectural principles, standards, and best practices and ensure the as-sold solution is realised
● Act as a trusted advisor to senior customer stakeholders (CXO level and technical leads). Will need to engage with Customers through delivery as required
● Create points of view on accounts to help mine and grow accounts.
3. Practice & CoE Development
● Work closely with the labs. Contribute to the development of new products/ accelerators.
● Mentor and coach engineers to enhance their technical and customer engagement skills.
4. Thought leadership
● Keep abreast of technology and produce points of view for Indexnine’s offerings and technical capabilities
● Represent the company at industry forums, webinars, and client workshops.
● Be able to independently conduct discovery and solutioning workshops with Customers
Skills/Qualifications:
● 15+ years of overall experience with a blend of architecting, pre sales and technical delivery
● Should be leading a pre-sales unit in a services organization. Hands-on with designing solutions, proposal writing, estimation, pricing and customer presentations.
● Broad based technical expertise and having played a Sr Architect role for at least 2 years
● Excellent communication, stakeholder management, and team leadership skills.
● Experience working in an IT services environment in the Product Engineering space (i.e designing and building bespoke products/solutions)
● BE/ Masters degree





