Director, Analytics Engineering (2 Openings)

For our client, we are seeking a Director, Analytics Engineering (2 Openings) to join the team of a leader in the Pharmaceuticals & Biotech space.

This leader will guide the architecture and delivery of analytics engineering capabilities that power data science and ML initiatives at scale. The role will focus on building resilient data pipelines, feature stores, and self-service data layers that enable faster experimentation, model development, and decision-making. The director will also partner closely with Enterprise IT and cross-functional stakeholders to improve platform performance, automation, and data accessibility across the organization.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $194,600 – $361,400 annually

Responsibilities

• Design and implement self-healing data pipelines using AI/ML for monitoring and anomaly detection.
• Build and maintain centralized feature stores for feature reusability across models.
• Create optimized data repositories for data science workflows, including training and evaluation datasets.
• Develop automated feature engineering pipelines for transforming raw data into analytics-ready features.
• Partner with Enterprise IT to enhance analytics platform architecture for high-performance workloads.
• Integrate diverse data sources into automated pipelines for comprehensive analytics.
• Create self-service data access layers for independent querying by data scientists and analysts.

Qualifications

• Advanced degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.
• 5+ years leading teams in building enterprise-scale data platforms and feature stores.
• Expert knowledge of feature store technologies such as Feast and SageMaker Feature Store.
• Deep expertise in data platforms optimized for ML workloads, such as Databricks and Snowflake.
• Strong proficiency in Python, SQL, and Spark/PySpark for large-scale data processing.
• Experience with data orchestration tools such as Airflow and CI/CD for data pipelines.

Benefits

• Comprehensive health, life, and disability benefits.
• 401(k) with company contribution and match.
• Generous time-off package including vacation and personal days.
• Eligibility for performance-based cash incentives and potential annual equity awards.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.