Hybrid Data Warehouse Architect — Enterprise Platform Lead

Indus Valley; Town of Lansing (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Indus Valley seeks a Data Platform Architect / Datawarehouse Architect (Level 5) to drive modern data platform architecture and analytics product strategies. You will align data practices with enterprise strategy, landscapes, and security requirements, while guiding data governance and product roadmaps.

Responsibilities include designing scalable data architectures, evaluating cloud data services, and leading cross-functional teams to deliver data, analytics, and ML pipelines within an

Qualifications

• Minimum 5 years experience leading Data Architects and aligning data landscape with business and technology using TOGAF/FEAF/DODAF.
• Minimum 5 years experience developing Reference Architectures and Architecture Reviews for Enterprise Data Platform in a large enterprise.
• Minimum 3 years experience driving RFP processes for Data Platform Technologies and vendor co-development.
• Must have a BS in Computer Science / Data Science / Information Systems or related CS degree.

Responsibilities

• Design and maintain enterprise data platform architecture ensuring scalability and alignment with business goals.
• Oversee modern data platform components (storage, streaming, orchestration) and ensure cohesive operation.
• Establish governance for data quality, security, metadata, and compliance.
• Collaborate with engineering, analytics, security, and business teams to translate strategy into technical roadmaps.
• Lead procurement and selection of hardware, software, and tools for data warehouse architecture.

Skills

Data leadership

Enterprise Architecture

TOGAF/FEAF/DODAF

Vendor collaboration

Education

BS in Computer Science / Data Science / Information Systems

Tools

Databricks

Data Lake

Delta Lake

NoSQL DB

GraphDB

Power BI

Tableau

Job description

Indus Valley seeks a Data Platform Architect / Datawarehouse Architect (Level 5) to drive modern data platform architecture and analytics product strategies. You will align data practices with enterprise strategy, landscapes, and security requirements, while guiding data governance and product roadmaps.

Responsibilities include designing scalable data architectures, evaluating cloud data services, and leading cross-functional teams to deliver data, analytics, and ML pipelines within an