Seniors Data Architect- AWS

American IT SystemsPlano, TX
Hybrid

About The Position

We are seeking a Handson 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.

Requirements

  • 8 + years in data architecture/engineering with 3+ years architecting on AWS.
  • Proven design of S3 based data lakes with robust partitioning, lifecycle policies, and metadata/catalog strategy.
  • Hands'on experience with Kafka (topic design, schema evolution, consumer groups, throughput/latency tuning).
  • Practical MuleSoft integration design (API 'led connectivity, RAML/OAS, policies, governance).
  • Production experience with Amazon EKS for data/streaming microservices and connectors.
  • Strong SQL and performance tuning with Athena; expertise selecting file formats/partitioning for cost/perf.
  • Data warehousing on Snowflake (ELT, clustering, resource monitors, security) and delivering analytics via Tableau.
  • Mastery of data modelling (3NF, dimensional/star, data vault), data contracts, and event modelling.
  • Solid foundations in security, IAM/KMS, networking for data platforms, and cost management.

Nice To Haves

  • Experience with schema registries, stream processing frameworks, and change data capture.
  • Background in data governance (catalog/lineage), metadata automation, and compliance frameworks.
  • Familiarity with and DevOps practices for data (pipeline CI/CD, environment promotion, GitOps).
  • Prior work enabling self 'service analytics and establishing an enterprise semantic layer.

Responsibilities

  • 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 modelling 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.
  • 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, coast 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.
  • Guide ingestion patterns: Kafka topics/partitions, retention, compaction, schema evolution (Avro/Protobuf), DLQ strategies.
  • Architect MuleSoft APIs/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/cost.
  • Set patterns for CDC, bulk/batch ETL/ELT, and stream processing; select fit purpose transformation engines.
  • Shape a semantic layer and governed Snowflake models (data vault/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.
  • Implement data classification, encryption, access controls (RBAC/ABAC), masking/tokenization, and audit trails.
  • Establish data quality standards, SLOs, observability (freshness, completeness, accuracy), and automated validation.
  • Provide architecture runway, backlog guidance, and technical mentorship for data engineers, API/streaming engineers, and BI developers.
  • Partner with Product, Security, and Compliance to align roadmaps, standards, and delivery milestones.
  • Produce decision records, diagrams, and guidance that make complex designs easy to adopt.
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