11+ Rational ClearCase Jobs in Bangalore (Bengaluru) | Rational ClearCase Job openings in Bangalore (Bengaluru)

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Associate (Post-Sales SaaS / Customer Onboarding Engineer) Profiles

Mandatory (Experience 1): Must have 2+ years of hands-on experience in technical implementation, solutions engineering, or customer-facing engineering roles within B2B SaaS, preferably working with global or US-based clients,

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and technical implementation from kickoff to go-live, including customer requirement gathering, configuration, data setup, integrations, validation, and post go-live support.

Mandatory (Experience 3): Must have strong Python scripting skills, with hands-on experience writing scripts for data migration, ETL workflows, automation, and data transformation (CSV, JSON, spreadsheets, APIs).

Mandatory (Experience 4): Must have experience working with APIs, webhooks, REST integrations, reading/debugging JSON payloads, handling authentication flows, and troubleshooting integration issues.

Mandatory (Experience 5): Must have hands-on exposure to data modeling, SQL queries (PostgreSQL preferred), data validation, reconciliation, and quality checks to ensure accuracy during migrations and billing-related workflows.

Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.

Mandatory (Education): Candidate should have an Engineering degree.

Mandatory (Company Type): B2B SaaS or Services company selling to North America / global markets, in a customer-facing implementation or onboarding

Responsibilities:

• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain web applications using Angular
• Design, build, and maintain efficient, reusable, and reliable code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.
• Work with external data sources and APIs.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with other developers and stakeholders to ensure successful project completion.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 2+ years of experience in web application development using Angular.
• Strong knowledge of Angular 2+ and TypeScript.
• Experience with Angular Material and Bootstrap.
• Knowledge of relational database design and development using SQL Server.
• Familiarity with agile development methodologies.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with Entity Framework Core.
• Experience with Azure Cloud Services.
• Familiarity with unit testing frameworks such as NUnit and xUnit.
• Experience with source control management tools such as Git.
• Knowledge of CI/CD pipelines using Azure DevOps or similar tools.

Skills:-

Asp.Net, .Net Core, Web API,ASP.NET MVC, ReactJS,Jquery,Javascript,HTML

Desired profile

• Good verbal & written communication
• Proactive
• Flexible to working hours
• Good in team work as well as individual contributor
• Must be able to contribute to productivity in short time

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

If you are a great Java developer with experience in building scalable SaaS web applications and looking for an opportunity in building world-class products using cutting-edge technologies, please read on.

Nimesa is a Data Protection & Copy Data Management company creating an enterprise-class Backup & Recovery solution. Our product can cater to the needs of the enterprise AWS users who are looking for a 360 Data Protection solution that can do more than just Backup & Recovery.

As a Senior R&D Engineer, You will

• Design and build scalable complex systems with Java and Spring
• Contribute to the development of new features, debugging, and deliver timely fixes
• Perform peer code reviews in order to ensure quality standards

• Experience with Java, Spring Boot, AWS.
• Good at Design patterns, Algorithms.
• Experience with relational databases like PostgreSQL and MySQL
• Good understanding of web programming like REST and HTTP
• Strong Knowledge of Java Concurrency and Collection frameworks
• Knowledge of microservices architecture, messaging systems (RabbitMQ or Kafka), and docker is good to have
• Insights on workings of Database, Queues, Cache, servers.