Data and Operations Engineer
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Role details
Tech stack
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Job description
Staff/Principal-level Data and Operations Engineer
to lead the design, scalability, and reliability of our core data infrastructure and operational systems. This is a senior technical leadership role for someone who can operate as both a hands-on builder and a force multiplier - setting technical direction, mentoring engineers, and partnering closely with cross-functional teams to ensure our data platforms and operational tooling scale with the business.
You’ll own critical systems end-to-end: from data pipeline architecture to operational excellence practices (monitoring, incident response, automation), and you’ll be a key voice in shaping engineering standards across the org.
What You’ll Do
Architect, build, and scale data pipelines and infrastructure supporting analytics, ML, and product use cases
Own operational reliability - uptime, observability, incident response, and on-call practices for data and platform systems
Set technical direction and best practices for data engineering and operations across the company
Partner with Product, Data Science, and Infrastructure teams to translate business needs into scalable technical solutions
Drive automation initiatives to reduce manual operational overhead
Mentor and provide technical leadership to engineers at all levels; act as a force multiplier across teams
Lead architecture reviews, design docs, and technical decision-making for high-impact systems
Identify and resolve systemic bottlenecks in data quality, pipeline performance, and operational workflows
Requirements
8+ years of experience in data engineering, platform engineering, or infrastructure/operations roles, with demonstrated Staff/Principal-level scope
4+ years in fintech
Deep expertise in distributed data systems (e.g., Spark, Kafka, Airflow, dbt) and cloud data warehousing (Snowflake, BigQuery, Redshift)
Strong proficiency in Python, SQL, and at least one systems language (Go, Java, or Scala)
Proven experience with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code (Terraform)
Track record of leading large-scale technical initiatives with cross-functionally stakeholders
Strong operational mindset - experience with observability tooling (Datadog, Grafana, Prometheus), incident management, and building resilient systems
Excellent communication skills and experience mentoring senior engineers
Comfortable operating with high autonomy and ambiguity in a fast-paced environment
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