Lead Data Engineer

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

📋 Description

• Oversee the design, implementation, operation, and ongoing development of production data pipelines and core platform functionalities.

• Develop and enhance integrations across APIs, files, CDC and event sources, cloud services, and internal systems.

• Create standards for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery.

• Optimize workloads in Snowflake, dbt, and Airflow/Cloud Composer for enhanced reliability, scalability, performance, and cost-effectiveness.

• Conduct technical design reviews and clarify system boundaries.

• Assist teams in making informed architectural and delivery decisions.

• Mentor engineers and bolster engineering standards through comprehensive documentation and sustainable solutions.

• Collaborate with engineering and business teams to transform evolving requirements into scalable data-platform solutions.

• Troubleshoot production issues while balancing reliability, cost, speed, and durability.

• Leverage AI-assisted engineering tools while ensuring security, validation, quality, and human accountability.

⛳️ Requirements

• A minimum of 5 years of experience in software or data engineering, with substantial ownership of production data systems.

• Proficient in Python and SQL.

• Strong foundation in software engineering principles, including testing, code review, version control, and CI/CD.

• Familiarity with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.

• Experience with orchestration and transformation frameworks like Airflow/Cloud Composer and dbt, or similar technologies.

• Comprehensive understanding of data modeling, incremental processing, data quality, observability, and production recovery.

• Proven architectural judgment and experience in providing technical leadership and mentorship across teams.

• Ability to navigate ambiguity, clarify ownership, and communicate technical and business trade-offs effectively.

• Experience in Fintech or other high-stakes or regulated data environments is a plus.

• Bonus points for experience in CDC, streaming, event-driven, or high-volume integration.

• Familiarity with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage is advantageous.

• Experience with metadata, lineage, semantic layers, governance, privacy, or AI-ready data platforms is a plus.

• Must be permanently authorized to work in the United States without requiring visa sponsorship.

🏝️ Benefits

• Equity offered.

• Flexible working hours.

• Virtual-first work culture.

• Home office stipend.

• Comprehensive Medical, Dental, and Vision Insurance plans.

• Generous paid parental and caregiver leave.

• 401(k) savings plan with matching contributions.

• Access to financial advisor and financial wellness support.

• Flexible PTO policy.

• Generous company holidays, including Juneteenth and Winter Break.

• Company-wide in-person events held once or twice a year.

• Virtual events conducted regularly to foster connections with team members and leadership.