Data Architect

TRG Screen; Belfast City District; On-site; GBP 90,000 - 130,000; Full time

Job summary

TRG Screen is seeking a Data Architect to define and govern data across a multi‑product SaaS estate. You will author canonical models, establish data contracts, and lead master data management for scalable cross‑product analytics and AI readiness.

You will shape the Lakehouse strategy, set security and governance standards, and partner with executives to align with product roadmaps. This role offers high impact and visibility.

Qualifications

• 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; NATS / Kafka; Debezium/C DC patterns; Flink or Spark.

Responsibilities

• Author the canonical data model across the ten‑product estate: logical and physical modelling, ERs, 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.
• Define the Lakehouse target architecture: storage, table format, query engine, ingestion, metadata, and the standards that govern it.
• Set patterns for multi‑tenant isolation, row‑/column‑level security, and PII handling.
• Define streaming and batch ingestion architecture, building on investments in NATS JetStream, Apache Flink, Debezium; guide the engineering team.
• Specify catalog, lineage, and data‑quality foundation and own the operational practice that keeps them honest.
• Make build‑vs‑buy and tooling calls, revisiting current bets where warranted.
• Partner with the Director of Data Solutions to align with the product roadmap; represent data architecture in reviews and conversations.
• Establish the architecture practice: patterns, review forums, hiring standards as the team grows.

Skills

Data architecture

SaaS multi-product

Master data management

Data modelling

Lakehouse architecture

Dremio

Snowflake

Databricks

AWS

NATS/Kafka

Flink

SQL

Iceberg/Delta

Tools

Dremio

Snowflake

Databricks

AWS

NATS

Kafka

Flink

SQL

Iceberg

Job description

Join TRG Screen: Building World-Class Teams. One Expert at a Time.

Are you ready to be part of a dynamic team at the forefront of subscription spend management innovation?

At TRG Screen, we're not just redefining how organizations manage their subscription expenses - we're shaping the future of the industry. With cutting-edge solutions and a commitment to excellence, we empower businesses around the globe to optimize their subscription investments and drive sustainable growth.

Join us in our mission to revolutionize subscription management and make a meaningful impact on the way businesses access and utilize critical information. At TRG Screen, your talent and ambition will find a home, where opportunities for growth and advancement abound.

About TRG Screen

TRG Screen is the leading provider of market data and subscription management technology and automation solutions, tailored to the unique needs of financial institutions and legal firms. Our integrated suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years, TRG Screen has enabled businesses who rely on market data to monitor and strategically manage spending and usage of data and information services, including market data, research, software licenses, consulting and other necessary corporate expenses. TRG Screen solutions give decisionmakers full transparency into subscription spend and usage, enabling them to proactively manage subscription costs at scale, conduct more informed vendor negotiations, improve governance, and avoid unnecessary spending on these mission‑critical business services. TRG Screen is headquartered in New York City, with offices in Europe and Asia, as well as a 24x7 client support center in Bangalore, India.

TRG Screen is a portfolio company of Vista Equity Partners, one of the world’s largest and most respected private equity firms.

The Role

Our data spans multiple products, including spend analytics, contracts, invoicing, market data inventory, and real-time telemetry, but it currently sits in separate, disconnected domains. We are bringing this together into a unified, governed, multi‑tenant Lakehouse to enable cross‑product analytics, customer benchmarking, and AI‑driven innovation. We are looking for a Data Architect to define how our data is structured, connected, and governed, making sure it is consistent, trusted, and easy to discover across the organisation. This is a high‑impact role with strong visibility and a real opportunity to shape how TRG Screen uses data going forward.

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.

Required

Skills and Qualifications

• 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)
• 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 recognise that embracing diverse perspectives, backgrounds, and experiences foster innovation, enhance 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.

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