Senior Principal Engineer, Data Infra

$260,000 - $285,000/Yr

Cardlytics - Menlo Park, CA

Full-time - Senior

Remote - Menlo Park, CA

Professional, Scientific, and Technical Services

About the position

Cardlytics is seeking a Senior Principal Engineer, Data Infra to join our team, reporting to the Director Cloud & Data Infra. This role involves collaborating with cross-functional partners to build innovative data solutions that drive business impact. The engineer will be responsible for shaping Cardlytics' data strategy, ensuring accessible and reliable data for informed decision-making, and contributing to a culture of collaboration and continuous learning.

Responsibilities

• Work closely with data science and analytics functions to identify workflow inefficiencies and enhance self-service capabilities.
• Conduct a comprehensive audit of existing Data Infra to identify gaps and evaluate opportunities for improvement.
• Design, execute, and evaluate Proof of Concepts (PoCs) to address inefficiencies in data workflows.
• Research and assess technology vendors for suitable infrastructure upgrades to support self-service data needs.
• Oversee the performance of Data Infra, ensuring speed, scalability, reliability, security, and efficiency.
• Streamline processes related to data access, model deployment, and dataset creation through automation and documentation.
• Lead the transition to new infrastructure components, providing training and support to analytics teams and software developers.

Requirements

• 10+ years of experience in a related field.
• In-depth knowledge of modern data infrastructure components, including cloud services, databases (SQL/NoSQL), and big data processing frameworks.
• Proven experience in designing, implementing, and managing robust data infrastructure systems.
• Strong background in MLOps practices, automating the lifecycle of machine learning models.
• Understanding of self-service data environments and best practices for diverse user groups.
• Strong hands-on experience with SQL/NoSQL databases, ETL processes, and cloud services platforms.
• Hands-on experience with cloud data platforms like Snowflake and Databricks.
• Proficiency in automating data operations.

Nice-to-haves

• Master's degree in Computer Science or related field preferred.

Benefits

• Flexible paid time off plus company holidays
• Medical, dental, and vision insurance begins on your first day
• 401(k) retirement plan with company match, including a student loan debt repayment option
• Employee Stock Purchase Plan
• Educational assistance for continuing education
• Lifestyle Spending Account for wellness
• Complementary Calm app subscriptions for mental health support