Data Mesh Architect — Enterprise Data Platform

Synechron

New York, Northern (NY, KY)

Hybrid

USD 130,000 - 145,000

Full time

9 days ago
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Job summary

Synechron seeks an experienced Enterprise Data Architect to define target-state architecture, reusable patterns, and migration roadmaps for a complex financial-services data environment. You will interpret stored-procedure landscapes, establish domain boundaries, and design scalable data-product architectures across MCDB layers.

The role requires leadership in data mesh concepts, lakehouse platforms, and tooling such as Databricks, Unity Catalog, Delta, Snowflake, Kafka, and Airflow, with

Qualifications

  • 10+ years in data architecture, with enterprise-level experience in financial services.
  • Demonstrated data-mesh / data-product delivery and domain ownership separation.
  • Deep lakehouse experience with Databricks, Unity Catalog, and related tools.

Responsibilities

  • Define target-state data-product architectures and reusable patterns across domains.
  • Map patterns to MCDB features and produce a comprehensive pattern catalog.
  • Collaborate with business, data, and engineering teams to implement governance and roadmaps.

Skills

Data mesh/data-product architecture
TOGAF 9/10
ArchiMate/C4 modelling
Cross-functional collaboration

Education

TOGAF 9 or 10 certification

Tools

Databricks
Unity Catalog
Delta lake
Snowflake
Kafka
Airflow
Azure Data Lake Storage Gen2
AWS Lake Formation
Glue Data Catalog

Job description

Synechron seeks an experienced Enterprise Data Architect to define target-state architecture, reusable patterns, and migration roadmaps for a complex financial-services data environment. You will interpret stored-procedure landscapes, establish domain boundaries, and design scalable data-product architectures across MCDB layers.

The role requires leadership in data mesh concepts, lakehouse platforms, and tooling such as Databricks, Unity Catalog, Delta, Snowflake, Kafka, and Airflow, with

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