At a Glance
- Tasks: Design and govern data architecture for innovative subscription management solutions.
- Company: Join TRG Screen, a leader in subscription spend management technology.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Dynamic team culture that values diversity and innovation.
- Why this job: Shape the future of data architecture and make a real impact in the industry.
- Qualifications: 8-10+ years in data architecture with expertise in multi-product SaaS environments.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
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.
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 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.
Data Architect in Belfast employer: TRG Screen
TRG Screen is an excellent employer, offering a supportive and diverse work environment in the vibrant city of Belfast. Employees benefit from opportunities for professional growth and development, while being part of a global team that values collaboration and innovation in transforming complex revenue data into actionable insights. With a focus on aligning cross-functional teams and executing go-to-market strategies, TRG Screen fosters a culture where meaningful contributions are recognised and rewarded.
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We think this is how you could land Data Architect in Belfast
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We think you need these skills to ace Data Architect in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at TRG Screen, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TRG Screen. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TRG Screen
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TRG Screen!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
