Data Architect with AI - New York, NY

Hello All ,

Role: Data Architect - AZURE

Must Have skills :

15+ years of experience in data architecture, data engineering, and analytics platforms

Experience across AWS, Google Cloud Platform, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services with depth expectations as below:

o Deep experience on one more of AWS, Google Cloud Platform, Azure

o Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt

o Experience in open-source technologies based Enterprise Data architecture

Strong consulting experience in large BFSI transformation programs

Hands on experience with preparation for Data Analytics Solution architecture, client presentations and Proof of concepts development

Design and implement AI and Gen AI solution for data value chain

Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation

Strong background in data integration, reporting, and big data ecosystems

Experience working in regulated environments with data governance and compliance requirements

Excellent stakeholder communication and leadership skills

Roles & Responsibilities

- Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches.

- Solution Architecture & Design: Develop end-to-end cloud-native data & AI architectures spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards.