Data Architect

The Role

Responsibilities

• Data architecture
• Author the canonical data model across the ten-product estate: logical and physical modelling, entity relationships, SCDs, and tenant isolation patterns.
• Define data contracts with product teams; own the data dictionary, naming standards, and reference-data discipline.
• Lead master data management - entity resolution, golden records, and cross-product joins at scale
• Define data domains, ownership boundaries, and federated governance suited to a product-aligned organization.
• Design the semantic/query layer (Dremio) for analysts, products, customers, and AI agents; set governance standards covering cataloguing, lineage, quality, access control, and PII.
• Lakehouse architecture
• Define the Lakehouse target architecture: storage, table format, query engine, ingestion, metadata, and the standards that govern it.
• Set the patterns for multi-tenant isolation, row- and column-level security, and PII handling.
• Define the streaming and batch ingestion architecture, building on our investments in NATS JetStream, Apache Flink, and Debezium CDC patterns, and direct the engineering team on execution.
• Specify the catalog, lineage, and data-quality foundation and own the operational practice that keeps them honest.
• Make the build-vs-buy and tool selection calls, including revisiting current technology bets where the data warrants it.
• Strategy and partnership
• Partner with the Director of Data Solutions to ensure the architecture delivers against the product roadmap.
• Represent data architecture in design reviews and customer-facing conversations.
• Establish the architecture practice: patterns, review forums, hiring standard, as the team continues to expand.

Skills and Qualifications

• Required
• 8–10+ years in data / information architecture at a multi-product SaaS company.
• Deep expertise in conceptual / logical / physical data modelling, master data management, and domain-oriented governance.
• Proven track record reconciling semantically divergent source systems into canonical models across multiple products.
• Strong grounding in Lakehouse architecture trade-offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch).
• Hands-on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue, Athena, Lake Formation, or equivalent) NATS / Apache Kafka or similar, and CDC patterns (Debezium or equivalent) Stream processing (Apache Flink, Spark Structured Streaming, or equivalent) SQL and query optimisation at scale Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake)
• Dremio, Snowflake, or Databricks
• AWS data services (S3, Glue, Athena, Lake Formation, or equivalent)
• NATS / Apache Kafka or similar, and CDC patterns (Debezium or equivalent)
• Stream processing (Apache Flink, Spark Structured Streaming, or equivalent)
• SQL and query optimisation at scale
• Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake)
• Experience designing SaaS data models, tenant isolation, shared schemas, access patterns, at scale.
• Ability to communicate architecture decisions to engineers, product leadership, and executives.
• Strongly preferred
• Market data, financial services, or enterprise software-licensing domain experience.
• Familiarity with modern data catalog and lineage tools, and the operational reality of running them at scale (DataHub, OpenMetadata, Atlan, Glue Catalog or equivalent).
• Experience designing data products that feed AI and agentic use cases, such as, vector stores, RAG, embeddings, tool surfaces.
• Python for data pipeline scripting and orchestration.
• Exposure to real-time analytics use cases - dashboards, alerting, and anomaly detection.
• Join TRG Screen and unlock your potential in an environment where innovation thrives, opportunities abound, and your contributions make a difference. We are an equal opportunities employer. We recognise and value the power of diversity in our workplace and are committed to being an employer of choice for everyone. We welcome and encourage applicants from all backgrounds. All applications for employment are considered strictly on the basis of merit. At TRG Screen, we understand that diverse and inclusive teams are not just beneficial, they are essential to our success. We recognize that embracing diverse perspectives, backgrounds, and experiences fosters innovation, enhances problem-solving capabilities, and drives better business outcomes. By cultivating a culture of inclusion where every voice is heard and valued, we empower our world class teams to thrive, excel, and drive positive change. We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.
• Privacy Notice for Applicants
• TRG Screen is committed to protecting your privacy and handling your personal information responsibly. Information you provide during the recruitment process will be collected, processed, and stored in accordance with our Privacy Policy.
• We encourage all applicants to review our Privacy Policy to understand how we collect, use, and protect your personal data throughout the recruitment process. Our Privacy Policy is available at: www.trgscreen.com/privacy-policy .
• By submitting an application, you acknowledge that you have read and understood our Privacy Policy.