Data Governance Architect

1. Current State (As Is) Assessment

• Conduct a detailed as is assessment of the data landscape, covering: 

• Data storage platforms (on prem, cloud, lakehouse, warehouse)
• Data ingestion and integration pipelines (batch, streaming, real time)
• Data processing frameworks and analytical workloads
• Data consumption patterns (BI, reporting, advanced analytics, AI/ML)

• Evaluate the current architecture against industry best practices and reference architectures in areas such as: 

• Cloud native and Lakehouse patterns
• Data mesh / domain-oriented architectures

• Identify architectural gaps, technical debt, and design constraints.

2. Future State Architecture & Solution Design

• Define future state data architecture blueprints aligned to: 

• Modern data platform best practices
• Cloud native and scalable design principles
• Analytics and AI enablement

• Propose technology agnostic and vendor aligned solutions based on prior experience with modern data architectures.
• Establish enterprise standards for: 

• Data ingestion, modeling, storage, and access
• Data interoperability and integration
• Architectural patterns and reusable components

4. Roadmap & Capability Planning

•     Drive the development of a long-term data architecture roadmap, including: 

o     Target capabilities and architectural milestones

o     Phased initiatives with sequencing and dependencies

o     Modernization priorities aligned to business outcomes

•     Partner with engineering teams to guide execution and ensure alignment to architectural intent.

5. Governance Alignment

•     Collaborate with data governance and security teams to ensure: 

o     Architecture aligns with governance, privacy, and compliance requirements

o     Governance controls are embedded into data platforms by design

Expected Outcomes

•     Clear current state vs future state architecture view

•     Scalable and resilient data platform foundation

•     Reduced architectural complexity and technical debt

•     Architecture that supports analytics, AI, and future growth