Description

Key Responsibilities

1 Architecture Advisory Independent Review

Provide objective thirdparty evaluation of the current data platform architecture design choices and implementation approach

Review and validate lakehouse architecture including ingestion transformation storage and consumption layers

Identify gaps design risks and antipatterns across the platform

Recommend alternative approaches and tradeoffs aligned to enterprise standards

2 Data Modernization Strategy Alignment

Assess alignment to modern data platform paradigms Lakehouse ELT Medallion architecture

Validate architectural decisions around

oData ingestion patterns batch streaming unstructured data integration

oData modeling and transformation strategies

oAnalytics and AIML readiness of the platform

Ensure consistency with enterprisescale governance security and performance requirements

3 Risk Identification Derisking

Proactively identify technical architectural and operational risks impacting delivery timelines and scalability

Conduct design reviews and provide mitigation strategies and decision frameworks

Flag dependencies constraints and potential longterm impacts of current design choices

Support leadership with architecture risk summaries and decision recommendations

4 MultiVendor Stakeholder Engagement

Work independently with

oCustomer architects and SMEs

oInternal delivery teams

oThirdparty vendors

Facilitate architecture discussions workshops and governance reviews

Act as a neutral technical authority to resolve architectural conflicts and drive consensus

5 Best Practices Governance

Define and enforce architecture standards design patterns and guardrails

Ensure adoption of

oDatabricks and Spark best practices

oData governance frameworks including cataloging access control and auditing

oPerformance cost optimization and scalability standards

Provide guidance on DataOps DevOps practices and observability frameworks

6 Acceleration Program Support

Identify opportunities to accelerate delivery and remove bottlenecks

Guide teams in prioritizing architectural decisions that unlock progress

Support roadmap refinement for phased platform evolution

Required Experience Skills

Experience

14 years in data engineering data architecture or analytics platform engineering

Proven experience in enterprise data modernization or cloud migration programs

Strong background in Databricksbased lakehouse implementations at scale

Technical Skills

Deep expertise in

oDatabricks platform architecture

AWS cloud

oApache Spark PySpark SQL

oDelta Lake and lakehouse design patterns

Strong understanding of

oData ingestion and ELT frameworks

oData governance and cataloging approaches

oPerformance optimization and distributed systems

Advisory Leadership Skills

Ability to operate independently as a trusted advisor in a complex multivendor environment

Strong stakeholder management and executive communication skills

Proven capability to challenge existing designs constructively and drive consensus

Strong analytical and problemsolving mindset

Key Differentiators for This Role

Focus on independent assurance rather than delivery ownership

Requires consultative mindset combined with deep architectural expertise

Strong emphasis on

oRisk mitigation

oDecision validation

oCrossteam alignment

Ability to influence outcomes without direct team ownership

Nice to Have

Experience in insurance or regulated industries

Exposure to BIanalytics transformation tools

Key Skills

Education

Bachelor's degree