Senior Data Architect - Milpitas

Only for registered members Milpitas, United States

1 day ago

$140,000 - $210,000 (USD) per year *

* This salary range is an estimation made by beBee

Dice is the leading career destination for tech experts at every stage of their careers. Our client, DynPro Inc., is seeking the following. Apply via Dice today · About The Role · We are seeking a Senior Data Architect / Data Modeler to lead a large-scale enterprise data moderniz ...

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, DynPro Inc., is seeking the following. Apply via Dice today

About The Role

We are seeking a Senior Data Architect / Data Modeler to lead a large-scale enterprise data modernization initiative.

This role will be instrumental in transitioning from a legacy enterprise data warehouse (EDW) and transactional systems to a modern cloud-based Lakehouse architecture on Databricks.

The ideal candidate combines deep expertise in enterprise data modeling, Databricks architecture, and governance (Unity Catalog) with the ability to partner cross-functionally across engineering, analytics, and business teams.

This is a high-impact role focused on building the next-generation data foundation that will power enterprise analytics, automation, and AI.

Key Responsibilities

Enterprise Data Architecture

Define and design end-to-end data architecture supporting migration from legacy EDW to a modern Databricks Lakehouse.
Develop conceptual, logical, and physical data models across core business domains (Finance, Supply Chain, Operations, etc.).
Establish Lakehouse design patterns (Bronze / Silver / Gold).
Define standards for Delta Lake, Delta Live Tables, and data quality frameworks.

Databricks & Governance

Architect and operationalize Unity Catalog for enterprise-scale governance, lineage, metadata management, and access control.
Define catalog, schema, workspace, and permissioning strategies.
Partner with security and platform teams to align governance with enterprise standards.

Data Integration & Modernization

Translate complex legacy operational data into harmonized Lakehouse models.
Design ingestion strategies using CDC, APIs, streaming, and batch mechanisms.
Lead rationalization and migration of legacy EDW assets into Databricks.
Ensure alignment with enterprise master data and governance policies.

Cross-Functional Leadership

Collaborate with engineering, analytics, and business stakeholders to align architecture with business needs.
Provide architectural guidance, documentation, and standards.
Support roadmap planning and architecture review processes.

Required Qualifications

10+ years of experience in data architecture, data modeling, or enterprise data engineering.
Proven experience designing data models for large, complex organizations.

Strong hands-on experience with:
Databricks Lakehouse architecture
Unity Catalog (mandatory)
Delta Lake
Delta Live Tables
Deep expertise in conceptual, logical, physical, and dimensional data modeling.
Experience migrating legacy EDWs (Teradata, Oracle, SQL Server, Netezza, etc.) to cloud platforms.
Strong understanding of enterprise data governance, lineage, metadata, and security frameworks.
Excellent communication skills with both technical and business stakeholders.

Preferred Qualifications

Experience integrating ERP and transactional systems (SAP, Oracle, Workday, etc.).
Experience with Azure, AWS, or Google Cloud Platform cloud ecosystems.
Exposure to ML/AI workloads on Databricks.
Experience in semiconductor, manufacturing, or high-tech industries.

Regards,

Gaganpreet Singh

Lead - Talent Acquisition

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