Lead Data Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the architecture and technical roadmap for the team's pipelines, integrations, and datastores, making informed decisions on the trade-offs that influence them.

• Collaborate with leadership to prioritize challenges and assist in translating broad objectives into actionable tasks for the team.

• Establish the standards that the team adheres to: infrastructure as code, schema contracts, observability, testing, on-call practices, and incident response protocols.

• Oversee the replication pipelines that transfer Salesforce data into our Aurora and Postgres databases using Informatica and Fivetran.

• Provide direction for the production Postgres databases supporting our applications, focusing on query performance, indexing, access control, and migration reviews.

• Maintain high standards for the outbound jobs that deliver data to external partners and the inbound pipelines that process and validate partner files, ensuring auditability and reprocessing capabilities.

• Collaborate with engineering management on planning, scoping, and team development, representing Data Engineering in cross-team technical discussions.

• Mentor engineers at various levels and elevate the team's performance through code reviews, focusing on delivering results through others rather than solely through personal output.

• Lead the team during production incidents as the senior technical authority, and implement systemic solutions to prevent future occurrences.

⛳️ Requirements

• 8+ years of experience in building and operating production data systems, with significant time spent directing the technical strategy of a team or major initiative.

• Proven ability to create clarity from ambiguity, establishing a direction that others can effectively follow rather than merely executing clearly defined tasks.

• Extensive SQL proficiency, encompassing query optimization, indexing, schema design, and managing databases under production loads.

• Strong familiarity with replication and ETL/ELT tools such as Fivetran, Informatica, or Airbyte, with the discernment to select the most suitable method for specific challenges.

• Basic knowledge of data services offered by AWS, GCP, or Azure.

• Proficient in writing and reviewing Ruby on Rails or a similar programming language.

• Capability to establish and advocate for schema contracts across systems and teams that are not fully under your control.

• Calm and decisive leadership during production data incidents, coupled with the discipline to implement lasting solutions.

• Excellent communication skills and the ability to align multiple teams around a shared technical vision.

• Experience with and a willingness to utilize agentic AI coding tools.

🏝️ Benefits

• Significant employer contributions toward health, dental, and vision insurance programs.

• Generous paid time off, holidays, and parental leave.

• 401(k) matching program available.

• Opportunities for merit-based advancement.

• Career development and training resources provided.