About the Role

We are seeking a visionary and technically skilled Data Architect to lead the design, implementation, and governance of our data infrastructure. This role is critical to ensuring the integrity, security, and scalability of our data systems. You will be responsible for architecting data solutions that support analytics, AI/ML, and business intelligence across the organization. All data-driven initiatives—including those involving LLMs and machine learning—will run through this role.

Key Responsibilities

• Design and maintain scalable data architectures across SQL Server, PostgreSQL, MongoDB/DynamoDB, and Snowflake
• Architect and manage AWS RDS, S3, Data Lakes, Athena, and Glue pipelines
• Lead ETL/ELT processes using tools like Stitch Data, and ensure data quality, consistency, and accessibility
• Implement and enforce data governance, including PII protection, data lineage, and change tracking
• Collaborate with engineering and analytics teams to support Power BI dashboards and reporting
• Integrate and support AI/ML workloads using AWS Bedrock, SageMaker, and GCP Vertex AI
• Define and maintain systems of truth and ensure data is clean, reliable, and secure
• Ensure all data infrastructure and deployments are managed via Terraform and SFDX, and tracked in CI/CD pipelines
• Develop and maintain data engineering workflows using Python and modern data processing frameworks
• Stay at the forefront of AWS and data technologies, bringing innovative solutions to the team

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Required Qualifications

• 5+ years of experience in data architecture, data engineering, or a related field
• Deep expertise in:
• SQL Server, PostgreSQL, MongoDB or DynamoDB
• AWS RDS, S3, Athena, Glue, Data Lakes
• Snowflake, Power BI, and Stitch Data
• ETL/ELT concepts and tools
• Python for data engineering and automation
• Data security, especially around PII
• Data cleaning, validation, and transformation
• Change tracking and auditability of data systems
• Terraform and SFDX for infrastructure and Salesforce deployments
• CI/CD pipelines for deployment automation and governance
• AWS Bedrock, GCP Vertex AI, and other AI/ML platforms
• Strong understanding of systems of truth, data modeling, and data lifecycle management
• Excellent communication and collaboration skills

Preferred Qualifications

• Experience with data observability and data cataloging tools
• Familiarity with data mesh or data fabric architectures
• Experience with Spark, Airflow, or other orchestration tools