Data Warehouse Architect

Socket.dev; Lansing (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

Socket.dev seeks a Data Platform Architect to define target-state architecture for enterprise data platforms and oversee data, analytics, and ML product alignment with business strategy. The role focuses on TOGAF-based governance, data security, and capability maturity across data landscapes.

Required experience includes leading data architecture programs, reference architectures, and RFP-driven technology selection, in a large-scale enterprise context. A BS in CS or related field is required.

Qualifications

• Minimum 5 years leading Data Architects and aligning data landscape with business strategy.
• Minimum 5 years building Reference Architectures and Architecture Patterns Library at scale.
• Minimum 3 years driving RFPs for Data Platform technologies and vendor partnerships.
• BS in Computer Science, Data Science, Information Systems, or related field.

Responsibilities

• Track emerging capabilities for modern Enterprise Data Platforms and drive target-state architecture.
• Architect Data, Analytics, and ML Products aligned with enterprise data strategy and security needs.
• Support realization of enterprise business strategy through data-driven capabilities.

Skills

Data architecture leadership

TOGAF/enterprise framework

Architecture patterns

RFP process management

Education

BS in Computer Science or related

Tools

Databricks

Power BI

Tableau

NoSQL DB

Job description

The Data Platform Architect / Data Warehouse Architect (Level 5) tracks emerging industry capabilities for modern Enterprise Data Platforms (EDP), develops target-state Data Platform Architecture, and architects Data, Analytics, and ML Products aligned with enterprise data strategy, data landscape, data skills, data security, and data sharing needs — supporting the realization of enterprise business strategy outcomes.

Required Skills (Must haves):

• Minimum 5 years experience leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, and Data Architectural approaches using an industry-standard architecture framework (e.g., TOGAF 9, FEAF, DODAF) to align data landscape with business, application, and technology landscapes in support of a data-driven business strategy.
• Minimum 5 years experience developing Reference Architectures and an Architecture Patterns Library, and conducting Architectural Reviews to identify and manage architectural exceptions, ensuring architectural integrity of an Enterprise Data Platform in a large enterprise.
• Minimum 3 years experience driving the RFP process for selecting Data Platform technologies, partnering with vendors to co-develop innovative EDP capabilities, driving EDP innovation, and promoting a data-driven decision-making culture through Communities of Practice.
• BS in Computer Science, Data Science, Information Systems, or a related field — required.

Most Preferred Skills:

• Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks

Key Programming Languages: SQL, Python, R, Java

Other Technologies/Concepts/Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI, Tableau