Director Enterprise Data Platform

Surescripts, LLC; United States; Hybrid; USD 216,200 - 264,200; Full time

Benefits offered by this job

Hybrid work model

Healthcare benefits

401(k) with company match

Paid parental leave

Mental health days

Pet insurance

Job summary

Surescripts, LLC seeks a Director, Enterprise Data Platform to lead a core engineering team building the medallion data lake and data pipelines on Google BigQuery, serving internal data products, partners, and AI systems. The Director works alongside peers in Data Product Delivery, Architecture, Platform Engineering, and Trust & Enablement, and reports directly to the VP of Enterprise Data Platform.

You will mentor engineers, define data contracts, optimize cost, ensure data quality, and build

Qualifications

• Bachelor's degree in computer science, engineering, information systems, or related technical field.
• 10+ years of progressive experience in data engineering, cloud engineering, data infrastructure, or distributed systems.
• 5+ years of leadership experience managing engineering teams on large-scale enterprise platforms.
• Strong background in designing and operating cloud-native platforms, preferably on Google Cloud Platform.
• Experience implementing medallion or multi-layer data lake architectures at enterprise scale.
• Expertise with infrastructure-as-code, CI/CD, observability, automation, and platform operations.
• Proficient with SQL-based transformation patterns and orchestration tools such as Cloud Composer/Airflow.
• Experience defining and enforcing data contracts, SLAs, and quality standards across complex, multi-source environments.
• Knowledge of platform security controls, identity integration, tokenization, secrets management, and secure data access patterns.
• Strong communication, collaboration, and stakeholder-management skills.

Responsibilities

• Build and operate the medallion data lake (Raw, Silver, Gold layers) using Google BigQuery.
• Define ingestion, conformance, cleansing, and downstream availability standards; document and govern all layers.
• Lead, mentor, and grow a high-performing team of data engineers focused on cloud data platforms, pipeline development, and data modeling.
• Drive source system onboarding: define data contracts, enforce SLAs, build resilient, observable ingestion pipelines, and manage data freshness, completeness, and availability commitments.
• Collaborate with Architecture and Semantic Intelligence to ensure Gold layer data models align with canonical specifications.
• Own cost efficiency: manage BigQuery compute and storage, optimize queries, partitioning strategies, and materialized views to improve platform economics.
• Build observability and alerting infrastructure to detect and resolve pipeline failures proactively.
• Contribute to Enterprise Data Platform strategy, participating in senior leadership discussions and executive reporting.

Skills

Data engineering

Cloud data platforms

Leadership

Google Cloud Platform

SQL

Airflow

CI/CD

Data modeling

Education

Bachelor's degree in computer science or related field

Master's degree (preferred)

Tools

BigQuery

Terraform

Looker

Cloud Composer

Job description

Job Summary

The Director, Enterprise Data Platform leads a core engineering team that designs, builds, and operates the medallion data lake that serves as the foundation for Surescripts’ entire data product ecosystem. The role oversees the end‑to‑end data pipeline infrastructure on Google BigQuery, ensuring clean, reliable data for internal consumers, external partners, and AI systems. The Director works alongside peers in Data Product Delivery, Architecture, Platform Engineering, and Trust & Enablement, and reports directly to the VP of Enterprise Data Platform.

Responsibilities

• Build and operate the medallion data lake (Raw, Silver, Gold layers) using Google BigQuery.
• Define ingestion, conformance, cleansing, and downstream availability standards; document and govern all layers.
• Lead, mentor, and grow a high‑performing team of data engineers focused on cloud data platforms, pipeline development, and data modeling.
• Drive source system onboarding: define data contracts, enforce SLAs, build resilient, observable ingestion pipelines, and manage data freshness, completeness, and availability commitments.
• Collaborate with Architecture and Semantic Intelligence to ensure Gold layer data models align with canonical specifications.
• Own cost efficiency: manage BigQuery compute and storage, optimize queries, partitioning strategies, and materialized views to improve platform economics.
• Build observability and alerting infrastructure to detect and resolve pipeline failures proactively.
• Contribute to Enterprise Data Platform strategy, participating in senior leadership discussions and executive reporting.

Fundamental Qualifications

• Bachelor’s degree in computer science, engineering, information systems, or related technical field.
• 10+ years of progressive experience in data engineering, cloud engineering, data infrastructure, or distributed systems.
• 5+ years of leadership experience managing engineering teams on large‑scale enterprise platforms.
• Strong background in designing and operating cloud‑native platforms, preferably on Google Cloud Platform.
• Experience implementing medallion or multi‑layer data lake architectures at enterprise scale.
• Expertise with infrastructure‑as‑code, CI/CD, observability, automation, and platform operations.
• Proficient with SQL‑based transformation patterns and orchestration tools such as Cloud Composer/ Airflow.
• Experience defining and enforcing data contracts, SLAs, and quality standards across complex, multi‑source environments.
• Knowledge of platform security controls, identity integration, tokenization, secrets management, and secure data access patterns.
• Strong communication, collaboration, and stakeholder‑management skills.

Preferred Qualifications

• Master’s degree in computer science, engineering, business administration, or related field.
• Experience in healthcare, life sciences, or highly regulated industries.
• Familiarity with BigQuery, Airflow, Looker, Terraform, and modern observability platforms.
• Experience supporting synthetic data, metadata management, and data trust frameworks.

Benefits

• Base salary range: $216,200 – $264,200 per year (variable provision).
• Competitive compensation package including bonus and comprehensive benefits such as healthcare (infertility coverage), paid parental leave, mental health days, pet insurance, and 401(k) with company match.
• Flexible Hybrid Work model allowing virtual work with optional office collaboration.
• Work authorization in the U.S. required; U.S. work visas and sponsorship are not available.

Equal Employment Opportunity

Surescripts is an Equal Employment Opportunity and affirmative action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, gender identity, gender expression, veteran status, or any other protected category under federal, state, or local law.

Reasonable Accommodation

We are committed to providing reasonable accommodations to every applicant. Contact [e-mail] if you need assistance during the application process.