BLEND360
Data, Digital Marketing, & AI Solutions
LeadDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Data Engineer at BLEND360. Skills: Google Cloud Platform, Data Pipelines, Automation, Semantic Layer. Design scalable data pipelines. Build scalable data pipelines”
What You'll Achieve.
fueling remarkable outcomes for our Fortune 500 clients; building scalable, reliable, and business-ready data solutions; enable enterprise analytics and reporting; support consistent, trusted business reporting; support analytics consumption
Industry & Context.
What They're Looking For.
Must Have
Google Cloud Platform (GCP), BigQuery, Cloud Storage, Cloud Composer, Dataflow, scalable data ingestion, pipeline automation frameworks, semantic layer development, dimensional modeling, Advanced SQL, Python development, ETL/ELT pipeline design, orchestration, CI/CD, infrastructure automation, cloud engineering best practices, data quality, observability, operational reliability principles, 7+ years of experience in data engineering, cloud data platform development, enterprise-scale cloud data solutions in GCP, leading technical workstreams, mentoring engineering teams
Nice to Have
healthcare data ecosystems, regulated enterprise environments, healthcare data standards, payer/provider analytics platforms, enterprise BI, analytics initiatives, dbt, Looker, semantic modeling frameworks, Consulting, client-facing experience
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Optimize scalable data pipelines
Lead automation efforts
Develop ingestion frameworks
Maintain ingestion frameworks
Build semantic data layers
Expand semantic data layers
Design ELT/ETL workflows
Optimize BigQuery performance
Manage BigQuery partitioning
Implement engineering best practices
Support data governance
Support metadata management
How You'll Work.
Team & Collaboration
Partner closely with architects; Partner closely with analytics teams; Partner closely with business stakeholders; Mentor junior engineers; Provide technical leadership; balance hands-on engineering execution with technical leadership and collaboration; communicate effectively with both technical and business stakeholders
Communication Scope
communicate effectively with both technical and business stakeholders
Full Job Description
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. What You’ll Do * 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 acro
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