Data Architect - Data Engineering 4D

Genpact Ltd.; Hoofddorp; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Genpact Ltd. is seeking a Data Architect - Data Engineering to lead the architecture for large-scale data systems in a hybrid setup at our Hoofddorf location.

You will design, implement, and oversee scalable data pipelines, governance, and analytics capabilities to support regulatory and business insights. You will partner with analysts, data scientists, and product owners to translate requirements into robust data models, pipelines, and BI-ready outputs, while promoting engineering best

Qualifications

• Bachelor's or higher in a relevant field and strong data engineering background.
• Experience designing and maintaining large-scale data architectures.
• Proficiency with data governance, security, and compliance in data platforms.

Responsibilities

• Own end-to-end data architecture for big data systems.
• Design and implement data pipelines, models, and BI-ready data products.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Ensure data quality, security, and regulatory compliance across platforms.
• Evaluate new technologies and drive adoption of best practices in data engineering.

Skills

Data Engineering

Big data

ETL/ELT

Data governance

Cloud computing

Python

Education

Bachelor's in Business Analytics

Bachelor's in Computer Science

Master's in Data Science

Tools

Databricks Platform

CI/CD

Job description

## Data Architect - Data Engineering 4DApply: Hybrid: 6501-G-NL B.V.: Mercuriusplein 7, Hoofddorp, Netherlands: Full time: Posted Today: End Date: November 30, 2026 (30+ days left to apply): JR10027711Data 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**Responsibilities They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.\\n Roles and Responsibilities: 1. Develop and implement data strategies for large-scale data solutions; 2. Design and maintain data architecture for big data systems; 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions; 4. Optimize data storage and retrieval processes for efficiency and performance; 5. Ensure data security, integrity, and compliance with data governance policies; 6. 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 optimization of FMCC data required for new regulations, control processes and Process and Transaction Monitoring solutions. Explore how FMCC data capabilities can support advanced analytics and future AI use cases, including responsible use of generative AI. - Coach and mentor engineers, promote knowledge sharing and challenge the team to improve engineering practices, resilience and delivery discipline. - - - - - - Contribute actively to Agile ceremonies and foster transparent planning, early escalation and fact-based decision-making. You are not only expected to build solutions, but also to shape how FMCC designs, governs and operates its data engineering capabilities. BI experience in Power BI, Cognos, Tableau, Looker is preferable Act as the primary bridge between FMCC business teams, Change, BAU, Architecture and BIDS, ensuring data capabilities are aligned with strategic business priorities and operational needs. Drive the integration of data capabilities across FMCC by promoting shared standards, reusable solutions, cross-functional collaboration and early involvement of data expertise in strategic initiatives. Represent FMCC Data in cross-domain forums, architecture discussions and strategic initiatives across Wholesale Banking.**Qualifications**Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science**Certifications**Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks Academy**Required Skills**Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}**Language**English (Required)**Language Proficiency -**Advanced - C1**Additional Job Location -****Job Type**Regular**Master Skill List -**Data Engineering**Remote Type -**Hybrid**Work Shift -**With shift (Netherlands)**Why join Genpact?** • **Lead AI-powered transformation** – Drive innovation and solve real-world business challenges that matter • **Make an impact** – Help global enterprises solve business challenges that matter • **Accelerate your career** – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • **Work with the best** – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • **Thrive in a values-driven culture** – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.