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Open nowPosted 6 days ago

Data-Mesh / Enterprise Architect

Synechron138 open roles

Pay
$140,000 – $160,000 a year
Where
New York, NY
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Your applicationOpen nowData-Mesh / Enterprise ArchitectSynechron · New York, NY

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Synechron postings stay open a median of 22 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: posted 6 days ago

Synechron median: 22 days open

The posting

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

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.

Additional Information*

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 $140k - $160k/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)

Requirements:

  • 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.

We offer:

  • A highly competitive compensation and benefits package.
  • A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & paternity leave plans.
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
  • Retirement savings plans.
  • A higher education certification policy.
  • Commuter benefits (varies by region).
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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