Engineering Manager - Data Platform

About Cover Genius

Cover Genius is a Series E Insurtech firm delivering global protection to customers of leading digital companies worldwide, including Booking Holdings brands, Intuit, Hopper, Skyscanner, Ryanair, Amazon, Flipkart, eBay, Wayfair, and Shopee among others. Our award-winning insurance distribution platform, XCover, supports millions of customers annually. Recognized by the Financial Times as the fastest growing company in APAC in 2020, we operate across 20+ countries with a culturally diverse team committed to social entrepreneurship and global development initiatives through our "CG Gives" program.

Role Overview

As the Data Platform Engineering Manager, you will lead and guide the Data Engineering team responsible for building and maintaining Cover Genius's Data Platform. This role requires an experienced leader with hands-on expertise in designing and delivering cloud-based data platforms, strong SQL and Python programming skills, and a focus on balancing robust delivery with platform reliability.

Key Responsibilities

• Lead and nurture a team of Data Engineers, promoting a culture of technical excellence, innovation, and ongoing improvement.
• Manage the design, development, and operation of scalable, efficient data pipelines aggregating data from various sources including SQL databases, APIs, and real-time streaming.
• Create and drive the strategic roadmap for the Data Platform technologies such as BigQuery, Airflow, dbt, and Dataflow, ensuring scalability, reliability, and cost efficiency against KPIs.
• Implement and uphold best software engineering standards like CI/CD, Infrastructure as Code, code reviews, testing protocols, and observability to ensure sustainable high-quality outputs.
• Develop strong data governance, security, and privacy frameworks to ensure compliance with regulatory and organizational standards.
• Collaborate with Data Analytics, Data Operations, Data Science, and Product Engineering teams to build effective data models that support business performance measurement.

Required Experience and Skills

• At least 7 years in Data Engineering with a minimum of 2 years in leadership or management roles within fast-growing environments.
• Strong track record in implementing data quality, observability, and testing practices within data teams.
• Hands-on experience with data warehouses such as BigQuery, Snowflake, or Redshift, and orchestration tools like Airflow.
• Advanced proficiency in SQL and solid Python coding skills focused on scalable, dependable data solutions.
• Expertise in Data Modeling and warehouse optimization strategies including clustering, partitioning, incremental dbt workflows, and caching to improve performance and reduce processing costs.
• Familiarity with streaming and event-driven architectures (e.g., Google Pub/Sub, Kafka, CDC tools) is advantageous.
• Experience managing cloud data platform operating costs, including capacity and slot management.
• Knowledge and practical experience with AI-assisted development methodologies to enhance team productivity and code quality.

Leadership and Personal Attributes

• Exceptional communication and leadership skills to inspire and develop a team of technical professionals.
• Strategic thinker capable of aligning data projects with broader business objectives and stakeholder expectations.
• Strong problem-solving skills and accountability for projects from technical design through team outcomes.
• Commitment to staying updated on data engineering innovations and empowering the team accordingly.
• Self-driven, dependable, and able to navigate delivery in a dynamic, fast-paced setting.

Workplace Culture and Benefits

• Flexible hybrid work model with office presence expected Monday, Tuesday, and Friday and remote work possible Wednesdays and Thursdays, plus flexible start and finish times.
• Opportunities to work from any of Cover Genius’s global offices for up to four weeks per year.
• Eligibility for employee stock options to participate in the company's success and value creation.
• Collaborate with passionate colleagues and contribute to social impact initiatives through our peer recognition and philanthropy programs.

Diversity and Inclusion

Cover Genius is committed to fostering an inclusive work environment free of discrimination or harassment on the basis of race, gender, sexual orientation, disability, veteran status, age, or any legally protected category.

Data Privacy and Application Process

Applicants acknowledge that Cover Genius will collect, store, and process personal data for recruitment purposes, employ AI tools to assist with application sorting but ensure final hiring decisions are human-made. Candidate data will be retained securely for three years post application. Detailed privacy practices and AI usage policies are available via our Privacy Policy.