Lead Data Engineer

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 across delivery teams

Required Skills

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.

Preferred Experience

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

Required Experience

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

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

The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location.

It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families.

You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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.

Originally posted on Himalayas