Senior Data Architect

We are seeking a Senior Data Architect to design and deliver scalable, high-performance data models, pipelines, and integration frameworks for a modern, cloud-native data platform. This role will work closely with platform, product, and engineering teams to ensure data architecture meets both immediate application needs and long-term enterprise goals. You will enable the creation of reliable, real-time, reusable data products that drive analytics, forecasting, and AI/ML solutions.

Key Responsibilities

Design Scalable and Consistent Data Architecture

• Define and maintain canonical data models, semantic layers, and entity relationships for consistent enterprise-wide data usage.
• Develop logical and physical models supporting real-time analytics, forecasting, and scenario planning.
• Partner with product teams to design modular, governed, and discoverable domain-aligned data products.

Build Reusable, High-Performance Data Pipelines

• Architect pipelines for batch and real-time processing using AWS-native services (Glue, Kinesis, Lambda, Step Functions).
• Optimize ingestion, transformation, and enrichment processes for scalability, resilience, and lineage tracking.
• Collaborate with cloud architecture teams to ensure infrastructure supports data SLAs.

Embed Governance and Data Stewardship

• Work with governance teams to implement metadata, lineage, and access controls via tools like Lake Formation, Informatica, or Snowflake.
• Define and enforce data quality rules, validation processes, and anomaly detection.
• Contribute to enterprise data catalogs and enable secure, documented self-service APIs.

Collaborate Across Teams

• Deliver shared data services and reusable semantic models supporting multi-team initiatives.
• Enable ML/AI-ready data pipelines for data science teams.
• Align integration strategies, domain boundaries, and semantic consistency across pods.

Required Skills & Experience

1. Data Architecture & Cloud Expertise 7+ years designing and delivering cloud-native data architectures (AWS Glue, Lambda, Step Functions, Lake Formation, Snowflake, Databricks, Informatica).
2. Pipeline Design & Orchestration 7+ years building and optimizing batch/streaming pipelines with strong performance, resilience, and traceability.
3. Canonical Modeling & Semantic Design 7+ years designing scalable, reusable data models aligned with business domains and analytics needs.