Data Mesh Enterprise Architect - Data-Product Platform Leader

Synechron, Inc._USA Company

New York (NY)

On-site

USD 130,000 - 145,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
Paid time off
Retirement plan
Parental leave

Job summary

Synechron seeks an experienced Enterprise Data Architect to define target-state architecture for a complex financial-services data environment. You will map inventories to reusable patterns across MCDB feature classes and produce a federated governance model with a self-serve data platform.

The role emphasizes data mesh, lakehouse patterns, and governance, requiring TOGAF/ArchiMate proficiency and hands-on experience with Databricks, Unity Catalog, Snowflake, and related tools.

Qualifications

  • 10+ years in data architecture, with senior enterprise experience in financial services.
  • Proven data-mesh / data-product architecture delivery and domain decomposition.
  • Deep lakehouse architecture using Databricks, Unity Catalog, Delta, Snowflake, Kafka, Airflow.
  • TOGAF 9/10 certified with practical governance of patterns; ArchiMate or C4 used in production.

Responsibilities

  • Interpret stored-procedure landscape architecturally and split responsibilities by domain or medallion layer.
  • Define one reusable target pattern per MCDB feature class (UI, stage, refdata, extract, enterprise model, MDM, sub-ledger, risk assets).
  • Create pattern-assignment matrix and target-state architecture (C4/ArchiMate).
  • Produce risk/complexity assessments and a sequenced roadmap; deliver architecture catalogues and pattern cards.

Skills

Data architecture
Data mesh
Domain boundaries
TOGAF
ArchiMate
C4 modelling

Tools

Databricks
Unity Catalog
Delta
Snowflake
Kafka
Airflow
Azure Data Lake Storage Gen2

Job description

Synechron seeks an experienced Enterprise Data Architect to define target-state architecture for a complex financial-services data environment. You will map inventories to reusable patterns across MCDB feature classes and produce a federated governance model with a self-serve data platform.

The role emphasizes data mesh, lakehouse patterns, and governance, requiring TOGAF/ArchiMate proficiency and hands-on experience with Databricks, Unity Catalog, Snowflake, and related tools.

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