Designation: Data Architect

Job Location: New York (Hybrid)

Experience: 9yrs+

Position Summary

We are looking for an experienced Data Architect to design and manage scalable, secure, and high-performance data solutions. The candidate will drive enterprise data architecture, define data models, and build end-to-end frameworks for data integration, governance, and analytics across multiple platforms.

Responsibilities:

• Own enterprise data architecture
  across conceptual, logical, and physical models, including data standards, naming conventions, and best practices.
• Design reusable architecture patterns (CDC ingestion, SCD handling, lakehouse/warehouse layers, medallion architecture) and architect scalable ETL/ELT + ingestion frameworks
  for end-to-end integration and transformations.
• Build and optimize warehouse/datamart architectures for analytics and reporting with strong focus on performance tuning (partitioning, clustering, indexing, query optimization).
• Ensure data governance, quality, lineage, metadata management, and secure access controls
  (RBAC, encryption, masking).
• Drive architecture reviews, technical decisions, and create/maintain documentation
  (architecture diagrams, data flows, ERDs, integration specs) ensuring alignment with enterprise standards.
• Collaborate with business stakeholders, data engineers, cloud, and BI teams
  to translate requirements into validated solutions.
• Client-facing role with end-to-end ownership of data architecture and delivery in a high-stakes, high-impact environment.

Skills & Qualifications:

• 8+ years of experience in data architecture and/or data engineering with strong architecture ownership
• Strong knowledge of data modeling (3NF, Star Schema, Snowflake Schema, Dimensional Modeling)
• Expertise in SQL and database design principles
• Strong experience with data warehousing concepts and best practices
• Hands-on experience with at least one modern cloud data platform (Warehouse/Lakehouse): BigQuery / Databricks / Snowflake / Redshift
• Experience with ETL/ELT tools and orchestration frameworks
• Knowledge of data governance tools (Collibra, Alation, Purview) is a plus
• Exposure to API-based ingestion and streaming (Kafka / PubSub) is a plus
• Strong communication and stakeholder management skills

Education:

• Bachelors/Masters degree in Computer Science / IT / Engineering or equivalent experience