AI Summary
Design, evolve, and govern scalable enterprise data architectures supporting modern analytics and AI use cases. Lead technical presales engagements, solution design, and client workshops to translate business challenges into robust data blueprints. Collaborate with distributed delivery teams and act as trusted advisor for data strategy and platform implementation.
Key Highlights
Design and govern scalable enterprise data architectures using Data Mesh or Data Fabric frameworks
Lead technical presales engagements including client workshops, RFP responses, and PoCs
Drive adoption of modern cloud data platforms (AWS, Azure, GCP) and advanced analytics technologies
Collaborate with distributed delivery teams, especially in India, ensuring architectural integrity
Key Responsibilities
Design, evolve, and govern scalable enterprise data architectures supporting modern data, analytics, and AI use cases
Drive adoption of modern cloud data platforms (AWS, Azure, GCP) and advanced analytics technologies
Lead technical presales engagements including client workshops, RFP responses, and solution design
Deliver compelling solution presentations and Proof of Concepts (PoCs) for technical and executive audiences
Take architectural ownership in client projects from discovery through implementation and stabilization
Conduct architecture reviews and design decisions throughout the project lifecycle
Collaborate closely with distributed delivery teams ensuring architectural integrity, quality standards, and timeline adherence
Coach and mentor project team members
Participate in steering committees and key project governance meetings
Contribute to Data & Analytics community through best practices, reusable assets, and architectural playbooks
Act as thought leader in internal and external client engagements supporting capability development in modern data platforms, governance, and AI-enabled data solutions
Technical Skills Required
Benefits & Perks
Flexible working hours
Option to work from home
Health & Wellbeing subsidies
Job Description
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job Description
- Design, evolve, and govern scalable enterprise data architectures that support modern data, analytics, and AI use cases, leveraging hands-on experience with decentralized frameworks such as Data Mesh or Data Fabric, ensuring best practices in data modeling, integration, governance, security, and compliance.
- Drive adoption of modern cloud data platforms (AWS, Azure, GCP) and advanced analytics technologies, aligning data architecture with overall enterprise architecture and business strategy.
- Lead technical presales engagements, including client workshops, RFP responses, and solution design to translate business challenges into robust, scalable data architecture blueprints and technical roadmaps.
- Deliver compelling solution presentations and Proof of Concepts (PoCs) for both technical and executive audiences, acting as a trusted advisor to senior client stakeholders.
- Take architectural ownership in client projects from discovery through implementation and stabilization, conducting architecture reviews and design decisions throughout the project lifecycle.
- Collaborate closely with distributed delivery teams, especially colleagues in India, ensuring architectural integrity, quality standards, and timeline adherence while coaching and mentoring project team members.
- Participate in steering committees and key project governance meetings, contributing to the Data & Analytics community through best practices, reusable assets, and architectural playbooks.
- Act as a thought leader in internal and external client engagements, supporting capability development in modern data platforms, governance, and AI-enabled data solutions.
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- Multiple years of professional experience in data architecture, data management, integration, and analytics in complex enterprise environments.
- Strong expertise in modern data ecosystems, including data modeling, ETL/ELT pipelines, BI/analytics tools, data quality, and governance.
- Proven hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and one data intelligence platform (Databricks, Snowflake) or related services (data lakes, data warehouses, lakehouse architectures).
- Background in data strategy development, data governance frameworks, master data management, or AI/ML-driven data use cases.
- Extensive experience in technical presales, including client workshops, solution design, and showcasing data management accelerators to align strategies with enterprise architecture frameworks.
- Excellent workshop facilitation, presentation skills, and intercultural collaboration experience with the ability to communicate complex technical concepts to diverse audiences and work effectively with distributed teams.
- Business-fluent German and strong English language skills (written and spoken), with a structured, solution-oriented mindset and high degree of client focus.
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- Generous Work-Life Balance: Flexible working hours and option to work from home.
- Health & Wellbeing: Ergonomic workstations, subsidies for health services, sponsored sports events, etc.
- Company Events & Community: Regular after-work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more.
- Open, Agile Culture: Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit.
- Training & Personal Development: Focus on promoting both technical and personal growth to ensure employees stay up to date.
- Modern Tools & Workspace Design: Modern office, dual monitors, ergonomic equipment, and excellent on-site infrastructure.
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