Data Architect - Data Engineering 4D

Data Architect

Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

• They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.
• Develop and implement data strategies for large-scale data solutions.
• Design and maintain data architecture for big data systems.
• Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
• Optimize data storage and retrieval processes for efficiency and performance.
• Ensure data security, integrity, and compliance with data governance policies.
• Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.

As Senior Data Engineer, you will design, build and evolve secure, scalable and governed data solutions that enable FMCC to deliver reliable controls, regulatory outcomes and actionable client, income, commercial, or control insights. You will combine deep hands-on engineering expertise with end-to-end ownership, translating business and regulatory needs into robust data models, pipelines and business intelligence solutions. You will be a senior technical contributor across strategic data, BI and AI initiatives. You are expected to be visible, pragmatic and closely involved in delivery, from solution design and engineering through testing, deployment and production support. You will raise engineering standards, anticipate risks, provide clear technical direction and help the team deliver consistently without surprises. As a senior member of the team, you will share best practices, coach colleagues and contribute to a solution-focused, collaborative culture anchored in the Orange Code behaviours. This role reports functionally into the Data Domain Area lead in Amsterdam and hierarchically to the Change Lead. As an Senior Data Engineer, you play a pivotal role in driving data engineering, data insights, BI and AI projects through empowered teams and strategic alignment.

Your key responsibilities include:

• Own the end-to-end design, development and maintenance of scalable data pipelines and data products, covering ingestion, transformation, storage, orchestration and consumption.
• Translate business, control and regulatory requirements into robust technical designs, governed data models and fit-for-purpose BI solutions. Design and implement reliable ETL and ELT processes for batch and, where relevant, streaming workloads, with appropriate controls for data quality, lineage and traceability. Lead technical solution design and provide reusable blueprints that improve scalability, maintainability, client outcomes and regulatory compliance. Build engineering quality into delivery through automated testing, code review, version control, CI/CD, monitoring, observability and clear operational ownership. Own the deployment lifecycle for new and changed data models and BI solutions across test, acceptance and production environments. Perform impact assessments and work with cross-functional partners to evaluate business, operational, process and technology implications before implementation. Partner with analysts, data scientists, product owners, process experts and stakeholders to prioritize work, manage dependencies and deliver against the roadmap. Ensure technical documentation, requirements, design decisions, controls and support procedures are complete, current and endorsed by relevant stakeholders. Drive timely enrichment and