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. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization.

The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.

Required Experience

What Makes You Successfu l

- You are passionate about building scalable and maintainable cloud-native data solutions
- You balance hands-on engineering execution with technical leadership and collaboration
- You communicate effectively with both technical and business stakeholders
- You thrive in fast-paced, delivery-focused environments
- You bring strong ownership, curiosity, and continuous improvement mindset to your work

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

Nice to have

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