Sr. Software Engineer
Build and scale Addepar's Analytics Platform using the Data Lakehouse to optimize data analytics, workflows, Ops, and Data Governance. Requires 5+ years experience in platform development for data engineering outcomes, strong Java/Python skills, cloud platforms, CI/CD pipelines, IaC, and observability tools.
About the job
What You’ll Do
- Build and scale a comprehensive platform, formalizing and optimizing data analytics across teams
- Collaborate with product managers and engineers to understand requirements, and architect solutions for sophisticated data and workflow challenges
- Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure
- Simplify processes by promoting strategic data architecture and optimized workflows
Who You Are
- 5+ years of relevant work experience that shows proficiency in platform development, particularly in enabling data engineering outcomes
- Must have strong experience with Java or Python
- Proficient in one or more cloud platforms (AWS, GCP, Azure), with hands-on experience in cloud infrastructure and handling data analytics workloads
- Strong expertise in CI/CD for data engineering pipelines—building, automating, and optimizing the pipeline lifecycle
- Skilled in monitoring and observability tools like FiddlerAI, Datadog, and Grafana to track system performance, and system health
- Knowledge of Infrastructure as Code tools (Terraform, Ansible, CloudFormation) for consistent, scalable environment setups
- A collaborative, low-ego problem-solver who takes ownership and delivers results
- [Bonus] Experience in handling large-scale datasets and high velocity data streams
- [Bonus] Familiarity with the financial domain
- [Bonus] PySpark and Databricks experience (or similar technologies with a willingness to cross-train)
Skills
Java, Python, AWS, GCP, Azure, CI/CD, Datadog, Grafana, Terraform, Ansible, CloudFormation, Pyspark, Databricks
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