ROLE: Data Architect ( AWS, SQL, Data lake, Data Bricks)
Location: Plano, TX - Onsite
Duration: 6+Months
Must have skills.
AWS
data lake
SQL
Data Bricks
Finance Domain
We are seeking a hands on Data Architect to design and evolve an AWS based data platform spanning streaming ingestion (Kafka), API/enterprise integration (MuleSoft), containerized data services (EKS), data lake on S3, interactive query with Athena, and analytics/reporting on Snowflake and Tableau.
You will set data architecture standards, lead solution design, and guide engineering teams to deliver a scalable, secure, and cost efficient platform that accelerates product and analytics use cases.
Key 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/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).
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 at raw at' curated zones on S3, Athena for 'hoc/interactive SQL, and Snowflake for governed analytics and reporting.
Define platform SLAs/SLOs, cost guardrails, and chargeback/show back models; optimize storage/compute footprints.
Partner with DevOps to run containerized data services on EKS (e.g., stream processors, microservices, connectors) and automate with CI/CD.
Data Integration & Processing Guide ingestion patterns: Kafka topics/partitions, retention, compaction, schema evolution (Avro/Protobuf), DLQ strategies.
Never miss an opportunity! Create an alert based on the job you applied for.
