Enso Recruitment
Data Architect

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Enso Recruitment Partnership Opportunity
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 over two decades.
They are now on the lookout for a talented Data Architect to 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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, hit Apply or reach out to a member of the Enso Recruitment team today!✉️📞
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