Data Architect

Enso Recruitment are delighted to be partnering with a well-established, globally operating SaaS business that has been at the forefront of its niche for nearly two decades. They are now on the lookout for a talentedData Architectto shape what comes next. The Opportunity This is a genuinely high-impact role. The business is on a mission to bring together data from across its multi-product estate into a unified, governed platform, unlocking smarter analytics, deeper customer insights, and a foundation for AI-driven development. As Data Architect, you will own how that data is structured, connected, and governed across the organisation. It's a role with strong visibility, real strategic ownership, and the chance to shape how data is used at scale for years to come. Key Responsibilities Author and maintain the canonical data model across a multi-product estate, covering logical and physical modelling, entity relationships, slowly changing dimensions, and tenant isolation patterns Define data contracts with product teams and own the data dictionary, naming standards, and reference data governance Lead master data management including entity resolution, golden records, and cross-product joins at scale Define data domains, ownership boundaries, and clear data ownership and governance that works across a product-led structure Design the semantic and query layer for analysts, products, customers, and AI agents, setting standards across cataloguing, lineage, data quality, access control, and PII handling Define the Lakehouse target architecture covering storage, table format, query engine, ingestion, and metadata standards Set patterns for multi-tenant isolation and row and column-level security Define streaming and batch ingestion architecture, building on existing investments in NATS JetStream, Apache Flink, and Debezium CDC patterns Partner with senior stakeholders to ensure architecture delivers against the product roadmap Establish architecture review forums and set the standard as the data team continues to grow About You 8+ years in data or information architecture within a multi-product SaaS environment Deep expertise in conceptual, logical, and physical data modelling, master data management, and domain-oriented governance Strong track record of reconciling divergent source systems into unified canonical models Solid grounding in Lakehouse architecture trade-offs including table formats, query engines, and ingestion patterns Hands-on experience with Dremio, Snowflake, or Databricks Hands-on experience with AWS data services such as S3, Glue, Athena, or Lake Formation Experience with NATS, Apache Kafka, and CDC patterns such as Debezium Stream processing experience using Apache Flink, Spark Structured Streaming, or equivalent Strong SQL skills and experience with query optimisation at scale Familiarity with data and table formats including Parquet, Avro, Apache Iceberg, and Delta Lake Ability to communicate architecture decisions clearly across engineering, product, and executive audiences Benefits Flexible, Hybrid Working 10% Bonus Great PTO Private Health Insurance including Dental and Optical cover Training and Development Opportunities Pension To find out more about this opportunity, submit your CV, or reach out to a member of the Enso Recruitment team today!

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