Data Architect

About the Position

We are looking for a Data Architect to help define and build the next generation of a data platform within a large scale modernization project. The project involves transitioning from a monolithic system to a services based architecture. You will play a key role in shaping the current state understanding, target architecture, and data roadmap, working closely with engineering, product, and business stakeholders. This is a hands on architectural role focused on clarity, structure, and forward looking design rather than legacy maintenance. You will help establish a unified data strategy, improve efficiency, reduce infosec risks, and prepare the foundation for future ML and AI capabilities.

Responsibilities

• Document and validate the as is data architecture, including data flows, storage, pipelines, and integrations.
• Design the target data architecture, with strong consideration for modern lakehouse patterns and scalable cloud native solutions.
• Evaluate current tooling such as DBT, AWS Glue, and PostgreSQL, and recommend improvements or replatforming paths.
• Collaborate with platform engineering to define event driven data ingestion using Kafka and protobuf, and shared compute patterns.
• Contribute to the creation of a data product roadmap, including milestones, dependencies, and architectural priorities.
• Define and promote data standards, terminology, and canonical models across teams.
• Partner with engineering and business subject matter experts to ensure data architecture supports product needs and future ML and AI workflows.
• Provide architectural guidance on security, governance, and access control.
• Produce clear architectural artifacts such as diagrams, models, and documentation for technical and non technical audiences.
• Support the onboarding and transition to a future permanent Data Lead.

Requirements

• Proven experience as a Data Architect, Senior Data Engineer, or similar role in modern cloud environments.
• Strong understanding of data modeling, ETL and ELT, data governance, and distributed data systems.
• Experience with modern data platforms such as Databricks, Snowflake, or equivalent lakehouse or warehouse technologies.
• Familiarity with DBT, AWS Glue, or similar transformation and orchestration tools.
• Experience designing event driven data ingestion using Kafka and streaming pipelines is a strong plus.
• Ability to create clear architectural documentation and communicate complex concepts simply.
• Comfort working in environments undergoing modernization and organizational change.
• Collaborative mindset with the ability to work across engineering, product, and business teams.
• Interest in or exposure to ML and AI workflows, MLflow, or model driven architectures is a plus.
• Exposure to data lakehouse concepts and unified governance layers.

Nice to Have

• Experience in organizations transitioning from monolithic to microservices architectures.
• Understanding of infosec considerations in data architecture.
• Ability to influence without authority and guide teams through ambiguity.