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AssetMark

Senior Data Engineer

full-time•Charlotte•$175k - $195k

Summary

Location

Charlotte

Salary

$175k - $195k

Type

full-time

Experience

10+ years

Company links

WebsiteLinkedInLinkedIn

About this role

Job Description:

AssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose.

The Job/What You'll Do:

The Senior Data Engineer / Technical Lead is a pivotal, hands-on leadership role responsible for the end-to-end design, governance, and operational excellence of AssetMark's data platform. This role is a strategic blend of deep technical architecture and team enablement, serving as the bridge between business needs and production-grade data systems. The focus is on driving highly scalable solutions and pioneering the integration of AI/ML models into our data ecosystem.

We can consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office.

Responsibilities:

I. Data Architecture & Strategic Design

  • Platform Leadership: Define, champion, and drive the technical vision for our modern data architecture on Azure and Snowflake. This includes making key decisions on Lakehouse patterns, data modeling methodologies (Dimensional, Data Vault), and the strategic use of services like Azure Synapse and Azure Data Factory.

  • End-to-End Design: Lead the architectural design and implementation of highly scalable and resilient ELT/ETL pipelines, ensuring optimal performance for mission-critical financial workloads.

  • Build vs. Buy: Provide expert technical guidance and contribute to the evaluation and selection of new data tools and frameworks (e.g., orchestration, observability, vector databases).

  • Cost Optimization: Drive FinOps practices within the data platform, focusing on optimizing Snowflake compute usage, storage costs on Azure, and overall cost-per-query efficiency.

II. Engineering Excellence & Team Leadership

  • Hands-on Coding & Delivery: Serve as a hands-on technical leader by writing, optimizing, and reviewing complex code primarily in Python and SQL. Directly contribute to the most challenging parts of data pipeline development.

  • Standards & Governance: Define, document, and enforce engineering best practices, architectural design patterns, and coding standards across the data team.

  • Code Review / PR Process Ownership: Oversee the code review process, providing constructive, high-quality technical feedback to ensure that all committed code is scalable, secure, maintainable, and aligns with the defined vision.

  • Mentorship: Actively mentor and coach junior and mid-level data engineers on technical depth, debugging complex distributed systems, and modern data stack methodologies.

  • CI/CD & DevOps: Lead the integration of data solutions into CI/CD pipelines (e.g., Azure DevOps, GitHub Actions), ensuring robust testing, deployment automation, and operational readiness.

III. Data Governance & Reliability (DataOps)

  • Data Quality & Observability: Own the strategy and implementation of Data Observability solutions (like Monte Carlo) to proactively monitor the health, freshness, volume, and lineage of all production datasets.

  • Data Lineage & Cataloging: Ensure comprehensive data lineage is captured and maintained to support transparency, auditing, and impact analysis across the platform.

  • Security & Compliance: Collaborate closely with security and compliance teams to design and implement rigorous data governance policies, including PII masking, data tokenization, and Role-Based Access Control (RBAC) specific to financial data.

  • SLA Management: Define, monitor, and enforce data Service Level Agreements (SLAs) and Service Level Objectives (SLOs) for critical data assets, and lead blameless post-mortems following any data incident.

IV. AI/ML Enablement & Innovation

  • AI Data Strategy: Partner with Data Science and Product teams to architect the necessary data flows and infrastructure to support AI/ML model training, inference, and MLOps.

  • GenAI Integration: Provide technical leadership in piloting and implementing Generative AI (GenAI) techniques—leveraging LLMs via tools like Snowflake Cortex or open-source frameworks—to automate engineering tasks (code generation, documentation) and enable new data products.

  • Feature Engineering: Guide the team on best practices for designing and curating versioned, high-quality feature sets for production-ready machine learning models.

Knowledge, Skills, & Abilities:

  • Technical Depth: Expert proficiency in Python and Advanced SQL. Deep, hands-on experience with Snowflake (architecture, performance tuning, Snowpark) and Microsoft Azure data services.

  • Leadership & Design: Proven experience leading technical design sessions, defining target state architectures, and mentoring senior engineers.

  • DataOps Fluency: Strong experience with modern data stack tools, including dbt (Data Build Tool) and workflow orchestration (Airflow, Azure Data Factory).

  • Domain: Experience working with large-scale, complex datasets, preferably within the Financial Services or Asset Management industry.

  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical trade-offs to non-technical executive stakeholders.

Education & Experience:

  • 7+ years of progressive experience in Data Engineering or Software Engineering, with a significant portion dedicated to cloud data platforms.

Compensation: The Base Salary range for this position is between $175,000-$195,000.

 

This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.

Candidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.

#LI-hybrid

#LI-TN1

Who We Are & What We Offer:

We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they’re heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work. 

Our Mission 

Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients’ lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience.

Our Values 

Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day.  

We believe in: 

  • Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities. 

  • Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships. 

  • Unyielding Integrity, doing what’s right, always. Even when it’s hard. 

  • Collective Respect, in being authentic, inclusive and valuing all voices while winning together. 

  • Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions.  

These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family. 

Our Culture & Benefits 

Our culture brings our mission and values to life. Here, we do what’s right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family—because thriving at work starts with thriving in life. 

  • Flex Time or Paid Time Off and Sick Time Off 

  • 401K – 6% Employer Match 

  • Medical, Dental, Vision – HDHP or PPO 

  • HSA – Employer contribution (HDHP only) 

  • Volunteer Time Off 

  • Career Development / Recognition 

  • Fitness Reimbursement 

  • Hybrid Work Schedule 

     

As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued. 

What you'll do

  • The Senior Data Engineer is responsible for the end-to-end design, governance, and operational excellence of AssetMark's data platform. This includes leading the architectural design of scalable ELT/ETL pipelines and driving the integration of AI/ML models into the data ecosystem.

About AssetMark

AssetMark, Inc. operates a wealth management platform with a mission to help financial advisors and their clients. AssetMark, together with its affiliates AssetMark Trust Company, Voyant, and Adhesion Wealth Advisor Solutions, serves advisors at every stage of their journey with flexible, purpose-built solutions, powered by its innovative technology platform. The company equips advisors with planning tools, investment solutions, and operational capabilities to help deliver better investor outcomes by enhancing their productivity, profitability, and client satisfaction. Founded in 1996, AssetMark has over 1,100 employees and serves more than 10,500 financial advisors and 318,000 investor households. As of September 30, 2025, the firm had over $158 billion in platform assets. AssetMark is a registered investment adviser with the U.S. Securities and Exchange Commission. For more information, visit www.assetmark.com.

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Frequently Asked Questions

What does AssetMark pay for a Senior Data Engineer?

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AssetMark offers a competitive compensation package for the Senior Data Engineer role. The salary range is USD 175k - 195k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Data Engineer do at AssetMark?

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As a Senior Data Engineer at AssetMark, you will: the Senior Data Engineer is responsible for the end-to-end design, governance, and operational excellence of AssetMark's data platform. This includes leading the architectural design of scalable ELT/ETL pipelines and driving the integration of AI/ML models into the data ecosystem..

Is the Senior Data Engineer position at AssetMark remote?

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The Senior Data Engineer position at AssetMark is based in Charlotte, North Carolina, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Data Engineer position at AssetMark?

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You can apply for the Senior Data Engineer position at AssetMarkdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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