Sr. Software Engineer - Analytics Platform
Addepar1 · New York, NY
About this role
**Sr. Software Engineer - Analytics Platform** **Who We Are** Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market, and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data, and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. **The Role** Join Addepar’s innovative data and intelligence initiatives! We’re seeking a **Senior Software Engineer** to craft and build a **Data Analytics Platform**, enabling teams to make data-driven decisions every day. **Compensation / Authorization Notes** - Starting pay is determined based on role, skills, experience, qualifications, location, and market conditions. - Current range for this role: **$158,000–$197,000 (base salary) + bonus + equity + benefits**. - Applicants must be legally authorized to work in the United States **without requiring current or future visa sponsorship** and must be authorized to begin work on their first day. **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 experience showing proficiency in platform development, particularly 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 data analytics workloads - Strong expertise in **CI/CD** for data engineering pipelines (building, automating, optimizing the pipeline lifecycle) - Skilled in monitoring and observability tools like **FiddlerAI, Datadog, and Grafana** to track system performance and health - Knowledge of **Infrastructure as Code** tools (**Terraform, Ansible, CloudFormation**) for consistent, scalable environment setups - Collaborative, low-ego problem-solver who takes ownership and delivers results **Bonus** - Experience handling large-scale datasets and high-velocity data streams - Familiarity with the financial domain - **PySpark and Databricks** experience (or similar technologies with willingness to cross-train) **Our Values** - **Act Like an Owner** — Think and operate with intention, purpose, and care. Own outcomes. - **Build Together** — Collaborate to unlock the best solutions. Deliver lasting value. - **Champion Our Clients** — Exceed client expectations. Our clients’ success is our success. - **Drive Innovation** — Be bold and unconstrained in problem solving. Transform the industry. - **Embrace Learning** — Engage our community to broaden our perspective. Bring a growth mindset. **Security / Phishing Scam Warning** Addepar has been made aware of a phishing scam where imposters pose as hiring managers via email/text/social media, conduct fake “interviews,” and make fake job offers to collect personal
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