Engineering Manager - Data Platform

About the Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales. 

Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.

Our people are: Accountable, customer-obsessed, collaborative, driven

Our people are not: Passive, defensive, siloed, hesitant

About the Role

As the Engineering Manager, Data Platform, you will be the technical and people leader for our Data Engineering team. You will own the responsibilities of developing and maintaining Cover Genius Data Platform.

To drive success in this role, you will have hands-on experience designing and implementing modern cloud Data platforms, with strong SQL and Python skills.

As the Engineering Manager, you will lead the team that builds and operates the platform, balancing delivery with reliability. Regular collaboration with Data Analytics, Data Operations, Data Science, Product Engineering and other data users will be key in ensuring the availability and accuracy they depend on.

Key Responsibilities

• Lead a team of Data Engineers, fostering a culture of technical excellence, innovation, and continuous improvement.

• Oversee the design, implementation, and operation of efficient and scalable data pipelines to collect, process, and store large volumes of data from diverse sources including SQL databases, APIs, and streaming services.

• Define and own the strategic roadmap for our Data Platform (BigQuery, Airflow, dbt, Dataflow), ensuring scalability, reliability and cost-effectiveness against agreed KPIs.

• Leverage best-practice software engineering (CI/CD, IaC, Code Reviews, Testing, Observability) to drive high quality and sustainable delivery across the team.

• Establish and enforce robust data governance, security and privacy frameworks to meet regulatory and internal compliance standards.

• Partner with other Data teams to build data models that drive business performance metrics.

Skills & Experience

What you will bring:

• Minimum 7 years of experience in Data Engineering, with at least 2 years leading or managing Data Engineering teams in a fast-paced, high-growth environment.

• Experience implementing data quality, testing and observability practices in the Data Engineering team.

• Extensive, hands-on experience building and maintaining Data Warehouses e.g. BigQuery, Snowflake, Redshift and data orchestration tools e.g. Airflow.

• Expert-level proficiency in SQL and strong coding skills in Python, with a track record of delivering reliable and scalable data solutions.

• High-Performance Data Modeling experience. Deep technical knowledge of warehouse optimization techniques (clustering, partitioning, incremental dbt strategy, caching) to minimize compute scan volumes and accelerate query response times. 

• Experience with streaming/event-driven pipelines e.g. Google Pub/Sub, Kafka, CDC tooling is nice to have.

• FinOps & Cost Optimization: Proven track record of managing and optimizing cloud data platform costs (data warehouse capacity/slot management)

• Track record of adopting AI-assisted development practices within a team — evaluating tools, setting standards for their use and measuring productivity and quality impact.

What you will have:

• Exceptional leadership and communication skills, with the ability to inspire, motivate, and develop a team of technical experts.

• A strategic mindset, with the ability to align data initiatives with broader business goals and effectively manage stakeholder expectations.

• Strong problem-solving abilities and a deep sense of ownership, from technical architecture to team performance.

• A passion for staying current with new practices and technologies in the data engineering field and empowering your team to do the same.

• You are self-motivated, reliable, and able to drive projects to completion in a fast-paced environment.

Why Cover Genius?  

At Cover Genius, we create magic by turning the archaic into the extraordinary. We take one of the world’s oldest and most complex industries and reinvent it with world-class technology. Cover Genius doesn’t just disrupt legacy insurance; we make the impossible feel effortless.Our operating principles guide our mission: 

• Make today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.

• Act with accountability: We own our commitments  and take pride in delivering results that move us forward.

• Grow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.

• Inspire Each Other: We push each other to think bigger and pull together to go further.

• Champion Our Customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.

• Don't just take our word for it- hear about our culture straight from our people here: story time

Ready to make an impact? If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you.

The Legal & Privacy Stuff

Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

By submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full .