Data Engineering Manager

Addepar; Town of Poland (NY); On-site; USD 101,581 - 121,897; Full time

Job summary

Addepar is seeking an experienced Data Engineering Manager to lead Portfolio Data Engineering in Poland. You will manage an engineering team, drive delivery of complex data ingestion and processing pipelines, and collaborate with product peers in an agile environment.

The role focuses on automating workflows and scaling data operations to support clients. You will work within the Addepar Platform to improve data quality, throughput, and reliability, leveraging PySpark and Databricks Lakehouse

Qualifications

• Experience leading data engineering teams.
• Strong problem-solving and decision-making skills.
• Experience delivering data pipelines and platform-scale data solutions.

Responsibilities

• Serve as a player/coach to lead Portfolio Data Engineers in Poland.
• Drive technical direction for the portfolio data engineering team across regions.
• Build and manage a team of engineers.
• Partner with cross-functional teams to design scalable data solutions that meet client needs.
• Lead pipelines for ingestion, analysis, and enrichment of financial data.
• Advocate for automation to increase throughput and data quality.
• Develop process controls and metrics to improve data quality and efficiency.
• Deliver high-quality results in a fast-paced environment.

Skills

Data engineering leadership

Problem solving

Experience as individual contributor

Education

Bachelor's degree in Computer Science

Tools

PySpark

Python

Java

SQL

Relational Databases

Job description

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. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.

The Role

We are seeking an experienced and highly motivated Data Engineering Manager to lead Portfolio Data Engineering in Poland, a critical component of the Addepar Platform team. The overall Addepar Platform provides a single source of truth “data fabric” used by the Addepar product set, including a centralised and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modelling, tooling and infrastructure related to the integration of client portfolio data.

Addepar’s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.

As a Data Engineering Manager, you will play a crucial role in leading and managing our engineering efforts, collaborating closely with product counterparts in an agile environment to drive business outcomes. Your responsibilities will include leading a team to deliver complex engineering projects with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. You’ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. Your team is a big component of growing and serving Addepar’s client base with minimal manual effort required from our clients or from our internal data operations team.

This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual data cleaning effort required from our clients or from our internal data operations team.

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 roles in Warsaw. The current range for this role is 380,000 - 456,000 złoty (base salary).

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Serve as a "player/coach" who will contribute to and supervise a team of Portfolio Data Engineers in Poland.
• Drive the technical direction for the portfolio data engineering team in Poland in close alignment with your direct peers in other regions and the wider engineering community
• Build and manage a team of exceptional engineers
• Partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet client requirements on time
• Lead a team to build pipelines that support the ingestion, analysis, and enrichment of financial data by collaborating with business data analysts
• Advocate for standard methodologies, find opportunities for automation and optimisations in code and processes to increase the throughput and accuracy of data
• Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency
• Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement

Who You Are

• Proven experience leading data engineering teams, several years of professional data engineering experience as an individual contributor
• A computer science degree or equivalent experience
• Strong problem-solving and decision-making skills
• Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus

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.

1. Introduction

1.1 In this Data Privacy Notice the terms the "Company", "we", "us" and "our" are references to Addepar Poland sp. z o.o. is part of the Addepar group of companies of which the ultimate parent is Addepar, Inc.

1.2 Addepar Poland sp. z o.o. will be the data controller of your personal data. In addition, where processing of personal data is undertaken by other associated companies of the Company for their own independent purposes, these