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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Enterprise Architect (Data Mesh) - **Company:** Synechron Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $130,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Airflow, Amazon Web Services, Data Architecture, Microsoft SQL Server, Reference Data, Azure Data Lake, SAS (Software), SQL Stored Procedures, SQL Databases, Transact-SQL, Enterprise Data Management, Snowflake, Archimate, Togaf, Collibra, Apache Kafka, Data Management, Databricks - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/67977650-259a-4632-b7f3-e951ddc69405 ## About the Role * 10+ years in data architecture, 5+ at enterprise or principal level in financial services. * Genuine data mesh / data-product architecture delivery, not familiarity with the literature. Candidates must be able to describe a specific domain decomposition they authored, the contested boundaries within it, and how the platform-versus-domain responsibility split was enforced. * Deep lakehouse and medallion architecture: Databricks with Unity Catalog, Delta, Snowflake, Kafka, Airflow, Azure Data Lake Storage Gen2. Must be able to reason about equivalents on AWS (Lake Formation, Glue Data Catalog, Amazon DataZone) when comparing options. * Reference and master data architecture: vendor onboarding, identifier crosswalks across FIGI, LEI/GLEIF, CUSIP/ISIN, SEDOL and MIC, mastering and distribution to consuming domains. * SQL Server and T-SQL depth sufficient to reason about stored-procedure decomposition - the ownership boundaries in MCDB are inside the procedures, not the schema names. * TOGAF 9 or 10 certified, with demonstrable use of TOGAF to define and govern patterns; ArchiMate or C4 modelling in production use. Preferred, but not required: * FIBO applied to a taxonomy or ontology exercise; ODCS or comparable data-contract specification. * Lineage and catalogue tooling in anger: Solidatus, Unity Catalog, Microsoft Purview, Collibra, Alation, Securiti.ai, Anomalo. * Experience with automated code-intelligence accelerators for SQL/SAS estate analysis. ## Description Synechron is seeking an experienced Enterprise Data Architect to define target-state architecture, reusable architecture patterns and migration roadmaps for a complex financial-services data environment. The role will focus on interpreting stored-procedure landscapes, establishing clear ownership boundaries across domains and medallion layers, and designing a scalable data-product architecture. Candidate will define reusable patterns for operational applications, ingestion, market and reference data, extracts, enterprise models, master data management, sub-ledger and risk assets. The successful candidate will combine deep expertise in data mesh, data-product architecture, lakehouse platforms and financial-services data with the ability to produce practical architecture artefacts that can guide implementation. Candidate will work across business, data, platform and engineering teams to ensure that the platform enables domain ownership without owning the underlying domain data., The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $130k - $145k/year & benefits (see below). The Role Responsibilities: * Interpret the stored-procedure landscape analysis architecturally: where a single procedure conflates responsibilities belonging to different domains or different medallion layers, define how it is split. * Define one reusable target pattern per MCDB feature class: operational UI / applications (app), raw ingestion from systems of record (stage), third-party market and reference data (refdata), consumer extracts (extract), enterprise model, and the cross-cutting MDM, sub-ledger and risk assets. * Map every inventory item to a pattern and produce the pattern-assignment matrix. * Compose the target-state conceptual architecture on DEAL: source-aligned data products, aggregate and consumer-aligned data products, the federated governance plane, the self-serve platform and the catalogue of catalogues - with the platform provisioning capability but never owning domain data. * Define the medallion mapping for each pattern * Specify output-port design so that contract-governed subscriptions replace point-to-point extracts, and define the change-feedback loop from consumer to producer. * Produce the complexity, risk and dependency assessment and sequence the roadmap against it. * Deliverables owned * Architecture pattern catalogue, one per feature class (Word; TOGAF pattern cards) * Pattern-assignment matrix covering every inventory item (Excel) * Target-state conceptual architecture (C4 and/or ArchiMate diagram + narrative) * Complexity, risk and dependency assessment with sequenced roadmap (Word + diagram) ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)