Data Architect - Data Engineering 4D

6501 Genpact NL B.V.; Hoofddorp; Híbrido; EUR 90 000 - 140 000; Tempo integral

Resumo da oferta

Genpact in the Netherlands is seeking a Data Architect to shape data strategy and drive large-scale data solutions across the enterprise. You will design and maintain data architectures for big data platforms, collaborate with cross-functional teams, and ensure secure, compliant data management while delivering scalable BI capabilities.

You will evaluate new technologies, lead data engineering efforts, and mentor engineers, contributing to AI-enabled analytics, data governance, and regulatory

Qualificações

• Experience designing data architectures for large-scale systems.
• Strong data governance and security practices.
• Proven ability to translate business needs into data solutions.
• Experience with BI tools and ETL/ELT processes.

Responsabilidades

• Develop and implement data strategies for large-scale data solutions.
• Design data architecture for big data systems.
• Collaborate with cross-functional teams to define data requirements.
• Lead end-to-end data pipelines including ETL/ELT and data quality.
• Ensure data security, governance and regulatory compliance.

Conhecimentos

Data Modeling

Data Engineering

Big Data

BI Tools

Communication

Formação académica

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Business Analytics

Master's in Data Science

Databricks Certifications

Ferramentas

Databricks Platform

Apache Spark

Power BI

Cognos

Tableau

Looker

Descrição da oferta de emprego

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.

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.

• 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.
• 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.
• BI experience in Power BI, Cognos, Tableau, Looker is preferable.

Qualifications

• Bachelors - Business Analytics
• Bachelors - Computer Science
• Bachelors - Statistics
• Masters - Data Science
• Certifications Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy
• Certifications 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

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.