Enterprise Data Architect AWS & Snowflake | Austin, TX (Onsite)

Long Term Contract

Key Responsibilities

• Design and implement enterprise-wide data architecture strategies leveraging Snowflake and AWS cloud services.
• Lead large-scale data modernization and cloud migration initiatives from legacy platforms to modern cloud-native architectures.
• Architect scalable and secure data lake, data warehouse, and lakehouse solutions.
• Define enterprise data models, metadata management, master data management (MDM), and governance standards.
• Develop data integration frameworks using AWS services including S3, Glue, Lambda, EMR, Kinesis, Redshift, and Athena.
• Design and optimize ELT/ETL pipelines using dbt, Airflow, Python, and SQL.
• Establish data quality, lineage, cataloging, and governance frameworks to ensure regulatory compliance and data integrity.
• Partner with Data Engineering, Analytics, AI/ML, and Business teams to deliver high-quality data solutions.
• Drive performance tuning, workload optimization, and cost management across Snowflake and AWS environments.
• Provide technical leadership, architecture reviews, and best practices for cloud data platforms.
• Evaluate emerging technologies and recommend innovative solutions to improve enterprise data capabilities.
• Support enterprise reporting, analytics, AI/ML, and real-time data processing initiatives.

Required Skills & Qualifications

Technical Skills

• 15+ years of experience in Data Architecture, Data Warehousing, and Enterprise Data Management.
• Strong expertise in Snowflake Data Cloud Architecture.
• Hands-on experience with AWS services:

• S3
• Glue
• EMR
• Lambda
• Kinesis
• Athena
• IAM
• CloudWatch
• Redshift (preferred)

• Strong knowledge of Airflow for workflow orchestration.
• Expertise in dbt for modern ELT development.
• Advanced proficiency in Python, SQL, and data engineering frameworks.
• Experience designing enterprise-scale Data Lakes, Lakehouses, and Data Warehouses.
• Strong understanding of data governance, metadata management, data lineage, and data quality frameworks.
• Experience with CI/CD, DevOps, Infrastructure as Code (Terraform preferred).
• Knowledge of streaming and real-time data architectures.

Architecture & Leadership

• Proven experience leading enterprise cloud transformation programs.
• Expertise in defining enterprise data strategy and architecture roadmaps.
• Strong stakeholder management and executive communication skills.
• Experience mentoring data architects, engineers, and technical teams.
• Ability to drive architectural decisions and governance standards across large organizations.

Preferred Qualifications

• Experience with AI/ML data platforms and modern analytics ecosystems.
• Exposure to Databricks, Spark, or lakehouse architectures.
• Experience in Financial Services, Banking, Healthcare, Insurance, Retail, or Fortune 500 environments.
• Knowledge of data security, privacy regulations, and compliance standards.
• AWS and Snowflake certifications highly preferred.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty
• Snowflake SnowPro Advanced Architect
• TOGAF Certification
• Certified Data Management Professional (CDMP)