Data & Analytics Architect

We are seeking a Senior Data & Analytics Architect with strong hands-on technology expertise and proven consulting experience. The candidate will lead Data & AI strategy initiative leveraging AWS and Snowflake
, while guiding the client through modern data architecture patterns including Lakehouse
, Open Table Formats (Delta / Iceberg), and AI-enabled use cases.

This is a client-facing role requiring strong stakeholder management, requirements gathering, and the ability to independently drive a consulting engagement end-to-end.

• Lead discovery workshops and requirement gathering sessions with business and technology stakeholders.
• Translate business objectives into scalable data architecture and implementation roadmaps.
• Drive engagement governance, solution articulation, and executive-level communication.
• Provide thought leadership on modern data platform architecture and AI enablement.

• Design and implement modern Data Warehouse and Lakehouse architectures
  .
• Define data models (dimensional, normalized, Data Vault where appropriate).
• Architect solutions using: (Good to have - will have Solution Architects supporting)
• AWS ecosystem (S3, Glue, Lambda, IAM, Redshift, etc.)
• Snowflake (Data Warehouse, Snowpark, Streams/Tasks, Data Sharing)
• Open table formats (Delta Lake / Apache Iceberg)
• Recommend best practices for scalability, security, governance, and cost optimization.

• Guide ingestion, transformation, and orchestration strategies.
• Ensure implementation aligns with data governance and compliance standards.

• Identify and design AI/ML enablement patterns (data readiness for ML, feature engineering pipelines).
• Advise on modern data stack evolution including:
• Lakehouse patterns
• Open table formats (Delta / Iceberg)
• Data mesh principles (if applicable)
• Evaluate new technologies and recommend adoption roadmap.

Required Skills & Experience

Experience

• 8+ years of total experience in Data Engineering / Data Architecture / Analytics Consulting.
• Proven experience working in consulting engagements (client-facing).
• Experience working with US-based clients is strongly preferred.

Technical Expertise

• Strong hands-on experience with AWS data services.
• Strong experience with Snowflake architecture and optimization.
• Deep understanding of:
• Data Warehousing concepts (dimensional modeling, performance tuning)
• Lakehouse architecture patterns
• Open table formats:
  Delta Lake and Apache Iceberg
• Experience with cloud-native data pipelines and modern ELT frameworks.
• Understanding of data governance, security, and compliance in cloud environments.
• Exposure to AI/ML data pipelines and AI-driven analytics use cases.

Consulting & Soft Skills

• Strong requirement gathering and stakeholder management skills.
• Ability to articulate technical solutions to business leadership.
• Experience driving projects independently.
• Strong written and verbal communication skills.
• Ability to operate in ambiguous environments typical of PE-backed portfolio transformations.

Preferred Qualifications

• Experience working with Private Equity firms or portfolio companies.