Data Architect

Data Architect

Louisville KY HYBRID

Min 6 months contract

75$/hr

Tech stack familiarity -

• Must have - AWS
• Must have - Databricks / Delta Lake
• BigID
• Azure
• Snowflake

Key Responsibilities

• Lead end-to-end data solution architecture (data flows, models, and system design).
• Define data platform patterns (batch vs streaming, ingestion, storage, processing).
• Build prototypes and guide teams in developing scalable data pipelines and models.
• Optimize data performance, partitioning, and query efficiency.
• Collaborate with business and engineering teams to translate requirements into solutions.
• Ensure security, governance, and compliance (IAM, encryption, data quality).
• Establish standards, CI/CD practices, and reusable frameworks.
• Drive observability, monitoring, and cost optimization for data platforms.

Must-Have Skills & Experience

• 6 years in Data Engineering / Data Architecture.
• Strong expertise in data modeling (Dimensional, Data Vault, schema design).
• Hands-on experience with modern data stack:
  • Cloud DW: Snowflake / Redshift / BigQuery
  • Processing: Spark / Databricks / PySpark
  • Streaming: Kafka / Kinesis
• Strong programming in Python (or Scala) advanced SQL.
• Experience building enterprise-scale data pipelines.
• Hands-on with ETL/ELT, orchestration tools (Airflow, dbt, etc.).
• Experience with cloud platforms (AWS preferred).
• Knowledge of IAM, encryption, and data security best practices.
• Strong stakeholder communication & architecture decision-making skills.

Nice to Have

• Experience with Terraform, Kubernetes, Docker.
• Familiarity with data governance tools (lineage, cataloging, data quality).
• Certifications (AWS Architect, Databricks, Snowflake, CDMP).
• Exposure to observability tools (Datadog, Prometheus).

Success Metrics

• Faster delivery of data products to production
• Improved data quality & reliability
• High system uptime and performance
• Adoption of standardized architecture patterns