Data Engineering Architect – Salesforce Sales & Service Analytics

We are looking for a Lead – Information Systems who can combine strong Salesforce/CRM expertise, advanced Excel skills, MIS reporting and business analytics to support data-driven decision-making.

🔹 What We’re Looking For

• Minimum 4 years of hands-on experience with CRM systems, preferably Salesforce

• Minimum 3 years of practical Salesforce experience preferred

• Advanced proficiency in Microsoft Excel, including:

Advanced formulas, Pivot Tables, Power Query, Data analysis, Automation

• Strong experience in MIS reporting, data validation, analysis and presentation of insights

• Proven experience creating and maintaining dashboards, KPI reports and management reports

• Good technical aptitude with the ability to understand business processes and convert them into effective reporting solutions

• Basic to intermediate understanding of finance and business metrics, including revenue, costs, budgeting and financial reporting concepts

• Strong analytical and problem-solving skills

• Excellent stakeholder management and communication skills

• Ability to work independently and convert data into actionable business insights

🔹 Key Responsibilities

• Manage and analyze data from Salesforce/CRM and other business systems

• Develop and maintain MIS reports, dashboards and KPI trackers

• Ensure data accuracy, validation and consistency across reports

• Analyze business data and identify trends, gaps and opportunities

• Translate business requirements into meaningful reports and dashboards

• Work closely with business and functional stakeholders to understand reporting requirements

• Support management with timely and accurate business insights and performance reports

• Identify opportunities to improve reporting processes through Excel, Power Query and automation

• Support CRM-related reporting and process improvements

🎯 Ideal Candidate

Someone who is comfortable working at the intersection of CRM + MIS + Excel + Business Analytics, and can go beyond preparing reports to explain what the data means and what action the business should take.

Job Title: Senior Data Engineer

Position Summary

We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.

Key Responsibilities

• Design, develop, and maintain reporting infrastructure and data platforms.
• Build and optimize complex SQL queries, data models, and reporting datasets.
• Develop scalable ETL/ELT pipelines and data integration processes.
• Design and maintain database schemas to support analytics and reporting requirements.
• Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
• Implement data quality, governance, and performance best practices.
• Support and enhance enterprise reporting solutions and dashboards.
• Work with large-scale datasets in cloud data warehouse environments.
• Troubleshoot reporting issues and optimize database performance.
• Partner with engineering and product teams to establish sustainable data architecture.

Must Have: Technical Skills

• PostgreSQL
• Snowflake
• Advanced SQL
• Data Modeling
• Data Warehousing
• Reporting & Analytics Infrastructure
• ETL/ELT Development
• Query Performance Tuning

Success Profile:

The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.

Experience Range: 5-10 years

Role Type: Individual Contributor / Senior Engineer

Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.

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.

Sr. Data Engineer 

Location: Pune

Responsibilities 

· Lead the end-to-end design and development of scalable, high-performance data pipelines and ETL/ELT frameworks aligned with modern data engineering best practices. 

· Architect complex data integration workflows that bring together structured, semi-structured, and unstructured data from both cloud and on-premise sources. 

· Build robust real-time, batch, and on-demand pipelines with built-in observability—monitoring, alerting, and automated error handling. 

· Partner with analysts, data scientists, and business leaders to define and deliver reliable data models, quality frameworks, and SLAs that power key business insights. 

· Ensure optimal pipeline performance and throughput, with clearly defined SLAs and proactive alerting for data delivery or quality issues. 

· Collaborate with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows that align with enterprise architecture standards. 

· Establish and enforce the best practices in source control, code reviews, testing automation, and continuous delivery for all data engineering components. 

· Lead root cause analysis (RCA) and preventive maintenance for critical data failures, ensuring minimal business impact and continuous service improvement. 

· Guide the team in establishing standards for data modeling, transformation logic, and governance, ensuring long-term maintainability and scalability. 

· Design and execute comprehensive testing strategies—unit, integration, and system testing—ensuring high data reliability and pipeline resilience. 

· Monitor and fine-tune data pipeline and query performance, optimizing for reliability, scalability, and cost-efficiency. 

· Create and maintain detailed technical documentation, including data architecture diagrams, process flows, and integration specifications for internal and external stakeholders. 

· Facilitate and lead discussions with business and operational teams to understand data requirements, prioritize initiatives, and drive data strategy forward. 

Qualifications 

· 7 to 10 years of hands-on experience in data engineering roles with a proven record of building scalable and secure data platforms. 

· Over 5 years of experience in scripting languages such as Python for data processing, automation, and ETL development. 

· 4+ years of experience with Snowflake, including performance tuning, security model design, and advanced SQL development. 

· 5+ years of experience with data integration tools such as Azure Data Factory, Fivetran, or Matillion. 

· 5+ years of experience in writing complex, highly optimized SQL queries on large datasets. 

· Proven experience integrating and managing APIs, JSON, XML, and webhooks for data acquisition. 

· Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools like Apache Airflow or equivalent. 

· Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). 

· Familiarity with dbt or similar transformation tools and best practices for modular transformation development. 

· Exposure to data visualization tools like Power BI for supporting downstream analytics is a plus. 

· Strong interpersonal and communication skills with the ability to lead discussions with technical and business stakeholders. 

Education 

Bachelor’s or Master’s degree in Computer Science/Information technology or related field. 

Equivalent academic and work experience can be considered. 

Senior Salesforce Architect

We are looking for a highly experienced Senior Salesforce Consultant / Salesforce Architect with strong expertise in Salesforce architecture, solution design, enterprise discovery, platform assessment, data analysis, integrations, and business process transformation.

The consultant will support requirements gathering, assessment of existing Salesforce environments, data and process analysis, platform rationalization, and evaluation of Salesforce as a potential target platform.

⚠️ Mandatory Certification

A valid Salesforce Solution Architect / Application Architect certification is mandatory. Candidates without this certification will not be considered.

Key Responsibilities

• Participate in business and technical discovery sessions with stakeholders across organizations.
• Understand and document current-state customer success processes, workflows, data structures, and Salesforce platform usage.
• Assess existing Salesforce environments, including:
• Salesforce data model and objects
• Configuration and customization
• Workflows and automation
• Business rules
• Roles, profiles, permissions, and security
• Enterprise integrations
• Data quality, duplication, and dependencies
• Custom applications and components
• Analyze how Salesforce data and processes interact with Atlassian/Jira Service Management and ServiceNow.
• Identify Salesforce capabilities supporting the future-state operating model.
• Evaluate gaps between current Salesforce capabilities and business requirements.
• Provide recommendations covering platform fit, configuration vs. customization, data migration, integrations, and target-state architecture.
• Contribute to future-state design and Design Blueprint.
• Identify data migration considerations including mapping, data quality, historical data, transformation requirements, and dependencies.
• Identify risks, assumptions, constraints, and dependencies.
• Collaborate with Salesforce, ServiceNow, JSM, data migration, and business transformation teams.
• Present Salesforce findings, architecture considerations, and recommendations to client stakeholders and senior leadership.
• Support enterprise application consolidation, platform rationalization, and transformation initiatives.

Required Skills & Experience

• 9+ years of Salesforce experience
• Strong Salesforce consulting, solution design, architecture, or platform assessment experience.
• Strong understanding of Salesforce architecture and platform capabilities.
• Strong knowledge of:
• Salesforce Data Model
• Configuration & Customization
• Automation
• Security
• Roles, Profiles & Permissions
• Integrations
• Hands-on Salesforce architecture and solution design experience.
• Enterprise-scale Salesforce discovery and assessment experience.
• Ability to translate business requirements into Salesforce capabilities and solution options.
• Strong understanding of data migration and data integration.
• Experience assessing complex Salesforce environments with significant customization and integration footprints.
• Experience with enterprise application consolidation, platform rationalization, or technology transformation.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder-management skills.
• Ability to work with both business and technical stakeholders.
• Experience working in multi-platform environments involving Salesforce, ServiceNow, Atlassian/Jira Service Management, and data migration teams.

Preferred Skills

• Salesforce Certified Administrator
• Platform Developer
• Platform App Builder
• Sales Cloud Consultant
• Service Cloud Consultant
• Application Architect
• System Architect
• Service Cloud
• Salesforce Data Cloud
• ServiceNow
• Atlassian / Jira Service Management
• Salesforce data migration
• M&A integration
• Post-acquisition technology consolidation
• Large-scale operating model and technology transformation

Core Competencies

Salesforce Architecture | Solution Design | Enterprise Salesforce Assessment | Salesforce Discovery | Data Model & Data Analysis | Configuration & Customization | Automation & Workflows | Security & Access Management | Integration Architecture | Data Migration | Platform Rationalization | Enterprise Application Consolidation | Business Process Analysis | Target-State Architecture

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.

Hiring: Data Modeler

Experience: 6+ years

Location: Bangalore/Gurugram/Pune

Required Skills

• Hands-on experience in conceptual, logical, and physical data modeling.
• Strong knowledge of ER modeling, dimensional modeling, star/snowflake schemas, fact/dimension tables, and SCDs.
• Strong SQL skills for data profiling, validation, and quality checks.
• Experience with source-to-target mapping, data dictionaries, metadata, and data lineage.
• Proficiency in Erwin, ER/Studio, or similar modeling tools.
• Exposure to Snowflake, Databricks, Redshift, SQL Server, or other data platforms.
• Understanding of data governance, UAT, reconciliation, and Agile methodologies.
• Strong analytical, documentation, and stakeholder management skills.

Preferred Qualifications

• Experience in enterprise data warehousing or lakehouse modeling.
• Knowledge of data products, data contracts, quality SLAs, and reusable datasets.
• Exposure to dbt, data cataloging, metadata management, and governance tools.
• Ability to work independently in a fast-paced environment.

If interested please share your cv at : snigdhaattheratebeanhr.com

We are looking for a highly experienced Senior Salesforce Consultant / Salesforce Architect with strong expertise in Salesforce architecture, solution design, enterprise discovery, platform assessment, data analysis, integrations, and business process transformation.

The consultant will bring deep Salesforce platform expertise to the discovery and transformation team, supporting requirements gathering, assessment of existing Salesforce environments, data and process analysis, platform rationalization, and evaluation of Salesforce as a potential target platform.

The ideal candidate should be comfortable engaging with both business and technical stakeholders and translating complex business requirements into practical Salesforce capabilities and target-state solutions.

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

• Minimum 5 years of experience as a Data Engineer
• Hands-on experience with Azure cloud-based data solutions
• Expertise in database design and management, including SQL databases such as SQL Server
• Proficient in ETL (Extract, Transform, Load) design for data integration and processing
• Strong knowledge of data modeling principles and techniques
• Ability to analyze and translate data into actionable insights, reports, and visualizations
• Proficiency in Power BI for reporting and data visualization

Desirable Skills:

• Experience with Power BI Report Builder / Reporting Services
• Knowledge of statistical analysis or Data Science
• Experience within the UK Insurance industry is a plus
• Python or R coding skills

Responsibilities:

• Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
• Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
• Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
• Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
• Implement different methods of streaming data and create reconciliations for datasets
• Build analytical models to support reporting and analytics
• Collaborate with an agile delivery team to work on the backlog of specified work

Job Description

We are seeking an experienced Senior Salesforce Architect with 8+ years of experience to lead Salesforce architecture, solution design, and enterprise integrations. The ideal candidate will have strong expertise in Sales Cloud, Salesforce CPQ, quote-to-cash processes, and professional services operations.

Key Responsibilities

• Own Salesforce solution architecture, scalability, security, and platform governance.
• Lead solution design across Sales Cloud, Certinia PSA, and quote-to-cash processes.
• Architect integrations with NetSuite, MuleSoft, Workday, and other enterprise platforms.
• Define data models, integration patterns, automation, and technical best practices.
• Provide technical leadership to developers, administrators, and integration teams.
• Collaborate with business stakeholders to translate requirements into scalable solutions.

Required Skills

• 8+ years of Salesforce experience, including architecture responsibilities.
• Experience with large-scale Salesforce implementations.
• Strong expertise in Sales Cloud, Salesforce CPQ, and quote-to-cash.
• Hands-on knowledge of Apex, SOQL, Flow, LWC, Salesforce APIs, and Platform Events.
• Strong understanding of enterprise integrations, middleware, data architecture, and security.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with Certinia PSA (FinancialForce).
• Familiarity with NetSuite, MuleSoft, and Workday.
• Experience in professional services or consulting environments.
• Salesforce Architect certifications.