Senior Manager- Data Architect

Job Role Data Management and Analytics-Analytical Solution ArchitectExperience (In Years) 9-12Job Location New YorkJob DescriptionWe 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.ResponsibilitiesOwn 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.Qualifications8+ years of experience in data architecture and/or data engineering with strong architecture ownershipStrong knowledge of data modeling (3NF, Star Schema, Snowflake Schema, Dimensional Modeling)Expertise in SQL and database design principlesStrong experience with data warehousing concepts and best practicesHands-on experience with at least one modern cloud data platform (Warehouse/Lakehouse): BigQuery / Databricks / Snowflake / RedshiftExperience with ETL/ELT tools and orchestration frameworksKnowledge of data governance tools (Collibra, Alation, Purview) is a plusExposure to API-based ingestion and streaming (Kafka / PubSub) is a plusStrong communication and stakeholder management skillsEducation:Bachelor's/Master's degree in Computer Science / IT / Engineering or equivalent experienceJ-18808-Ljbffr