Lead Data Product Architect / Engineer

3 Weeks ago • 11-15 Years

Data Analysis

Job Description

Seeking a highly skilled Lead Data Product Architect/Engineer to drive the design, development, and governance of data products and platforms. This role involves serving as a technical and architectural leader, collaborating with cross-functional teams to define scalable, secure, and high-performance data solutions that power analytics, AI/ML, and digital products. Key responsibilities include defining enterprise data architecture, designing data flows, developing data models, and promoting data-as-a-product principles.

Good To Have:

Experience with real-time data streaming (Kafka, Flink, Spark Streaming)
Knowledge of data contracts and APIs (e.g., OpenAPI, GraphQL, gRPC)
Familiarity with data catalogs (e.g., Alation, Amundsen, Collibra)
Exposure to MLOps and integration with ML pipelines
Understanding of data mesh principles and federated data ownership models

Must Have:

Define and evolve the enterprise data architecture aligned to business and analytical needs
Design and review end-to-end data flows, from ingestion to consumption
Develop scalable data models (dimensional, relational, and denormalized)
Lead design and delivery of reusable, governed data products with clear ownership and SLAs
Implement data product lifecycle management (design, versioning, deprecation, etc.)
Build and optimize batch and streaming pipelines using tools such as Airflow, Spark, and Kafka
Own cloud-native architecture for data platforms (AWS, Azure, or GCP)
Ensure robust DevOps practices, CI/CD pipelines, and infrastructure-as-code
Define standards for data quality, lineage, documentation, and observability
Implement data access control, encryption, masking, and compliance (GDPR, HIPAA, etc.)
Partner with governance teams to integrate metadata management and cataloging tools
Collaborate with business, product, data science, and engineering teams to align on goals and roadmap
Provide technical mentorship to data engineers and review solution designs
Participate in Agile ceremonies and drive architectural decisions
10+ years of experience in data engineering or architecture roles
Strong expertise in SQL, Python, and modern data modeling techniques
Hands-on experience with cloud-native data platforms (AWS, Azure, or GCP)
Deep knowledge of data warehousing technologies (Snowflake, Redshift, BigQuery)
Experience with orchestration tools like Airflow and ETL tool like AWS Glue
Strong understanding of data governance, data quality, lineage, and observability practices

Perks:

Work in a culture of collaboration and innovation
Get an understanding of the software architecture and interfaces of relevant in-house and external software components
Professional development and upskilling opportunities
Collaborative, mission-driven team culture

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Lead Data Product Architect / Engineer

We are seeking a highly skilled Lead Data Product Architect/Engineer to drive the design, development, and governance of our data products and platform. In this role, you will serve as a technical and architectural leader, collaborating with cross-functional teams to define scalable, secure, and high-performance data solutions that power analytics, AI/ML, and digital products.

Role Description & Responsibilities

Data Architecture & Solution Design
Define and evolve the enterprise data architecture aligned to business and analytical needs
Design and review end-to-end data flows, from ingestion to consumption
Develop scalable data models (dimensional, relational, and denormalized) to support business use cases
Data Product Leadership
Lead design and delivery of reusable, governed data products with clear ownership and SLAs
Implement data product lifecycle management (design, versioning, deprecation, etc.)
Promote data-as-a-product principles across the organization
Engineering & Platform Delivery
Build and optimize batch and streaming pipelines using tools such as Airflow, Spark, and Kafka
Own cloud-native architecture for data platforms (AWS, Azure, or GCP)
Ensure robust DevOps practices, CI/CD pipelines, and infrastructure-as-code
Governance, Security & Quality
Define standards for data quality, lineage, documentation, and observability
Implement data access control, encryption, masking, and compliance (GDPR, HIPAA, etc.)
Partner with governance teams to integrate metadata management and cataloging tools
Team & Stakeholder Leadership
Collaborate with business, product, data science, and engineering teams to align on goals and roadmap
Provide technical mentorship to data engineers and review solution designs
Participate in Agile ceremonies and drive architectural decisions in sprints and planning cycles

Qualifications

10+ years of experience in data engineering or architecture roles
Strong expertise in SQL, Python, and modern data modeling techniques
Hands-on experience with cloud-native data platforms (AWS, Azure, or GCP)
Deep knowledge of data warehousing technologies (Snowflake, Redshift, BigQuery)
Experience with orchestration tools like Airflow and ETL tool like AWS Glue
Strong understanding of data governance, data quality, lineage, and observability practices
Proven ability to lead and mentor engineering teams and influence stakeholders

Preferred Skills

Experience with real-time data streaming (Kafka, Flink, Spark Streaming)
Knowledge of data contracts and APIs (e.g., OpenAPI, GraphQL, gRPC)
Familiarity with data catalogs (e.g., Alation, Amundsen, Collibra)
Exposure to MLOps and integration with ML pipelines
Understanding of data mesh principles and federated data ownership models

What’s in it for you

Work in a culture of collaboration and innovation
Get an understanding of the software architecture and interfaces of relevant in-house and external software components.
Professional development and upskilling opportunities
Collaborative, mission-driven team culture

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

Dassault Systèmes is a catalyst for human progress. We provide business and people with collaborative virtual environments to imagine sustainable innovations. By creating virtual twin experiences of the real world with our 3DEXPERIENCE platform and applications, we bring value to more than 350,000 customers of all sizes, in all industries, in more than 150 countries. Join our global community of more than 23,800 passionate individuals!

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