Senior Platform Engineer, Data & Analytics

AVANT-posted 4 months ago
$135,000 - $165,000/Yr
Full-time • Senior
501-1,000 employees
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As a Senior Platform Engineer, you will be at the heart of Avant’s technical evolution. This isn’t a maintenance role; you will be a key player in designing and building the foundational data and machine learning platforms that power our products and analytics. You will tackle the dual challenge of scaling our core systems for the future while pioneering the practical application of Generative AI to create real business differentiation. You will join a focused, agile team with significant autonomy and a mandate to innovate. If you are a curious, hands-on engineer who thrives on variety and wants to shape how a successful fintech scales its most critical capabilities, this is the opportunity for you.

  • Build and evolve our data platform.
  • Design and implement our next-generation orchestration layer, transforming it from a series of environment-specific instances into a unified, multi-tenant platform.
  • Develop full-stack internal applications (Python backends, React frontends) that empower teams with self-service UIs for ingestion, transformation, and delivery.
  • Enhance our MLOps platform to empower teams with self-service tools for the entire model lifecycle.
  • Evolve and expand our core data and analytics stack, working with technologies like Kafka, Databricks, Spark, dbt, and Kubernetes.
  • Collaborate closely with Data Engineering and Product teams to understand their needs, design robust solutions, and build the tools that accelerate their work.
  • Contribute to the practical adoption of GenAI, focusing on applications that deliver real business value.
  • Help define patterns and practices for building reliable, observable, and cost-effective GenAI systems in production.
  • Build safe and effective sandboxes for developers to experiment with new tools and features.
  • 5+ years of experience in backend or platform engineering.
  • Strong backend development skills, experience building and deploying services in a cloud environment like AWS.
  • Solid understanding of infrastructure concepts.
  • Ability to operate at multiple levels of abstraction, from high-level system design to hands-on coding.
  • Pragmatic thinker who can critically evaluate tools and ideas.
  • Clear communicator who can articulate complex technical ideas and proposals.
  • Experience with core stack: Databricks, Spark, Kafka, Airflow, Temporal, or dbt.
  • Hands-on experience with Terraform and AWS services relevant to data platforms (e.g., S3, EKS, MSK, DMS, Glue).
  • Familiarity with data engineering concepts or the machine learning lifecycle (MLOps).
  • Personal projects or a demonstrated interest in exploring GenAI or other emerging technologies.
  • Choice of great Medical, Dental, and Vision Insurance Plan options.
  • 401(k) match.
  • Flexible Time Off.
  • Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person).
  • Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program.
  • Lunch Allowance (Fooda) and In-office Snacks.
  • Summer Fridays.
  • Fun In-Office and Virtual Social Events.
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