Data Architect

Job Description:

Responsibilities:

• Architecture & Design: Own the end-to-end data architecture across ingestion, storage, processing, serving, and visualization layers.
• Define canonical data models and domain data contracts.
• Lead conceptual, logical, and physical data modeling and schema design for batch and streaming use cases.
• Establish reference architectures and patterns for event-driven and API-led data integration (Kafka, MuleSoft).
• Design secure, multi-account AWS topologies (VPC, IAM, KMS) for data workloads.
• Enforce governance, lineage, and cataloging.
• Platform Enablement (New Platform Build-out): Lead the blueprint and incremental rollout of a new AWS data platform, including landing, raw, and curated zones on S3.
• Utilize Athena for ad-hoc and interactive SQL and Snowflake for governed analytics and reporting.
• Define platform SLAs/SLOs, cost guardrails, and chargeback/showback models.
• Optimize storage and compute footprints.
• Partner with DevOps to run containerized data services on EKS (e.g., stream processors, microservices, connectors).
• Automate deployments and operations with CI/CD.
• Data Integration & Processing: Guide ingestion patterns including Kafka topics and partitions, retention, compaction, schema evolution (Avro/Protobuf), and DLQ strategies.
• Architect MuleSoft APIs and flows for system-to-system data exchange and orchestration.
• Standardize API contracts and security.
• Define Athena query strategies, partitioning, file formats (Parquet/ORC), and table metadata practices for performance and cost optimization.
• Set patterns for CDC, bulk and batch ETL/ELT, and stream processing.
• Select fit-for-purpose transformation engines.
• Analytics, Reporting & Self-Service: Shape a semantic layer and governed Snowflake models (data vault and star schemas) to serve BI and data science.
• Enable business teams with Tableau dashboards, certified data sources, and governance for KPI definitions and refresh cadences.
• Security, Governance & Quality: Implement data classification, encryption, access controls (RBAC/ABAC), masking and tokenization, and audit trails.
• Establish data quality standards, SLOs, and observability for freshness, completeness, and accuracy.
• Implement automated validation.
• Leadership & Collaboration: Provide architecture runway, backlog guidance, and technical mentorship for data engineers, API and streaming engineers, and BI developers.
• Partner with Product, Security, and Compliance teams to align roadmaps, standards, and delivery milestones.
• Produce decision records, diagrams, and guidance to make complex designs easy to adopt.

Required Qualifications :

• 8+ years of experience in data architecture or engineering.
• 3+ years of experience architecting on AWS.
• Proven design of S3-based data lakes with robust partitioning, lifecycle policies, and metadata and catalog strategy.