Sr. Software Engineer - Analytics Platform

Stack

Responsibilities

• ▹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

Requirements

• ▹5+ years of relevant work experience proficient in platform development, particularly in enabling data engineering outcomes
• ▹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
• ▹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

Nice to have

• ▹Experience in handling large-scale datasets and high velocity data streams
• ▹Familiarity with the financial domain
• ▹PySpark and Databricks experience (or similar technologies with a willingness to cross-train)

Soft skills

What we offer

• ▹Base salary $158,000-$197,000 (range for Colorado, California, and New York) + bonus + equity + benefits

About the company

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets, with offices worldwide from New York to Singapore.