Lead Data Engineer

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion and automation capabilities within Google Cloud Platform (GCP). This role will be critical in building scalable, reliable data solutions that enable enterprise analytics and reporting across the organization.

Responsibilities:

• Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases
• Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
• Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources
• Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption
• Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns
• Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions
• Optimize BigQuery performance, partitioning, and cost management strategies
• Implement engineering best practices for testing, observability, reliability, and deployment automation
• Support data governance, data quality, and metadata management initiatives across the platform
• Mentor junior engineers and provide technical leadership across delivery teams

Requirements:

• Strong expertise in Google Cloud Platform (GCP), particularly: BigQuery, Cloud Storage, Cloud Composer / orchestration tooling, Dataflow or modern ingestion frameworks
• Experience designing and building scalable data ingestion and pipeline automation frameworks
• Strong understanding of semantic layer development and dimensional modeling concepts
• Advanced SQL and Python development skills
• Experience with ETL/ELT pipeline design and orchestration
• Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices
• Strong understanding of data quality, observability, and operational reliability principles
• Experieng with AI driven workflows, and orchestration design patterns
• 7+ years of experience in data engineering or cloud data platform development
• Proven experience delivering enterprise-scale cloud data solutions in GCP environments
• Experience leading technical workstreams or mentoring engineering teams
• Consulting or client-facing experience strongly preferred
• Experience working with healthcare data ecosystems and regulated enterprise environments
• Familiarity with healthcare data standards or payer/provider analytics platforms
• Experience supporting enterprise BI and analytics initiatives
• Exposure to dbt, Looker, or semantic modeling frameworks is a plus