Data Platform Architect

Key Responsibilities

• Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
• Architect scalable, secure, and cost-efficient cloud data platforms.
• Lead data engineering teams in implementing ETL/ELT pipelines and data integration solutions.
• Establish data governance, security, compliance, disaster recovery, and platform reliability standards.
• Enable analytics, reporting, and AI/ML workloads through modern data architectures.
• Evaluate emerging data technologies and drive AI-powered data engineering automation.

Required Skills

• 7+ years of database engineering experience, including 3+ years in database architecture.
• Enterprise data platform architecture across Azure and Google Cloud (Google Cloud Platform).
• Strong expertise in Snowflake, SQL, Python, and Matillion.
• Experience with Azure Data Lake (ADLS), Microsoft Fabric, Databricks, SQL Server, PostgreSQL, and Oracle.
• Data modeling, ETL/ELT orchestration, data governance, and cloud data integration.
• Knowledge of infrastructure as code, CI/CD, observability, security, and AI/ML data platforms.
• Excellent communication, technical documentation, and stakeholder management skills.
• Bachelor's degree in IT, Computer Science, Data Science, or a related field, or equivalent experience.

Preferred Qualifications

• Master's degree in a related field.
• Healthcare payer domain experience, including claims, eligibility, members, and providers.
• Apigee API integration experience.
• Integration experience with Salesforce, FACETS, and ServiceNow.