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Senior Data Architect
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-03-06
Listing for:
Smart IT Frame LLC
Full Time
position Listed on 2026-03-06
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
Job Description & How to Apply Below
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.
- 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):
Big Query / 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 / Pub Sub) is a plus
- Strong communication and stakeholder management skills
- Bachelor’s/Master’s degree in Computer Science / IT / Engineering or equivalent experience
Position Requirements
10+ Years
work experience
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