Addepar

Portfolio Analytics Architect (Investment Management)

Salt Lake City, UT

Live, first seen by us 78 days ago

Pay: USD 103,000–129,000/year · BaseAnnual period assumed — pay source
Base Salary Range $103,000—$129,000 USD Our Values
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Before you apply

Work authorization: Must already have the right to work in the USApplicants 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

What you’ll work on

Full posting

Lead data validation end-to-end with clients and internal project teams
Build scalable validation analytics in Databricks
Write Python logic to detect large-scale data anomalies and automate remediation
Run recurring client sessions to track progress and steer projects to completion
Research portfolio data discrepancies and recommend fixes for manual data issues

From the employer’s posting

Lead the data validation process end-to-end with the client and internal projects teams

Develop scalable data analytics processes for validation in Databricks

Write custom Python logic to detect large-scale data anomalies and automate remediation

Facilitate recurring client sessions to track progress and steer the data validation project through to completion.

Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix manual data issues

What you’ll bring

All qualifications

Core experience

2+ years experience working in Technology, Finance, or Consulting
Experience with Databricks and/or a cloud-based distributed data platform
Proven ability to research, design and implement solutions for complex problems
Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
Excellent communication and presentation skills, with proficiency in handling client objections
Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals

Qualification wording

2+ years experience working in Technology, Finance, or Consulting

Experience with Databricks and/or a cloud-based distributed data platform

Proven ability to research, design and implement solutions for complex problems

Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources

Excellent communication and presentation skills, with proficiency in handling client objections

Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals

About Addepar

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.

In the employer’s words · Read in context

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Posting record

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Status in our records: Live
First seen by us: Aug 17, 202678 days ago
Recorded sightings: 85
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 78

Up longer than most. Similar jobs usually come down between day 3 and day 41.

From 265 similar postings that came down. Coming down is not always a hire.

Addepar is hiring

18 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Databricks
Spark

Where the posting names them

- Develop scalable data analytics processes for validation in Databricks - Write custom Python logic to detect large-scale data anomalies and automate remediation - Facilitate recurring client sessions to track progress and steer the data validation project through to completion.

- Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources - Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals - Working knowledge of REST APIs

- Lead the data validation process end-to-end with the client and internal projects teams - Develop scalable data analytics processes for validation in Databricks - Write custom Python logic to detect large-scale data anomalies and automate remediation

- Working knowledge of REST APIs - Experience with Databricks and/or a cloud-based distributed data platform - Solution-oriented approach and a passion for problem solving

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About the role

We file this job under Data Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

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

A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success.

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

Lead the data validation process end-to-end with the client and internal projects teams
Develop scalable data analytics processes for validation in Databricks
Write custom Python logic to detect large-scale data anomalies and automate remediation
Facilitate recurring client sessions to track progress and steer the data validation project through to completion.
Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix manual data issues
Review, compare and document system calculation methodologies differences
Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations
Mitigate project risks by effectively escalating key impediments to stakeholders and executive leadership.
Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line
Identify and implement AI-driven automation and LLM integrations to streamline implementation

Who You Are

B.S in Finance, Mathematics, Statistics, Business or Economics
2+ years experience working in Technology, Finance, or Consulting
Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals
Working knowledge of REST APIs
Experience with Databricks and/or a cloud-based distributed data platform
Solution-oriented approach and a passion for problem solving
Proven ability to research, design and implement solutions for complex problems
Positive attitude, strong work ethic, proactive and a high contributing team player
Independent, adaptable and can thrive in a fast-paced environment
Excellent communication and presentation skills, with proficiency in handling client objections

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

$103,000—$129,000 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.

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