Job description

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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. 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 our teams to make data driven decisions every day Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. 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) Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $134,000 — $209,000 USD 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. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com .

Requirements

Must-haves

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
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.

Nice-to-haves

[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)
Compensation for this role includes base salary + bonus + equity + benefits.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavapythonawsgcpazureci/cd

Platform: greenhouse
Effort: quick