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Addepar

Data Engineering Manager (Pune)

Pune, India
Kubernetes SQL API Python AWS Terraform Java
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Description

Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune.

The Role

We are seeking an experienced and highly motivated Data Engineering Manager to lead the Reference Data Team in India, a critical component of the Addepar Platform team. The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools.

The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modeling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers. The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios.

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 using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes and more.

What You’ll Do

  • Drive the technical direction for reference data team in the UK 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 optimizations 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 

  • Minimum 10+ years of overall software engineering industry experience
  • Minimum 2+ years of proven experience leading data engineering teams and 5+ 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
  • Previous exposure to data modelling and visualization is a plus
  • Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus
  • Experience working in a SaaS product setup preferred but not necessary

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 TAinfo@addepar.com.

Addepar
Addepar
Analytics Financial Services FinTech SaaS Wealth Management

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