Senior Data Engineer

Posted 3 Days Ago
Charlotte, NC, USA
Hybrid
162K-190K Annually
Senior level
Fintech • Financial Services
The Role
Leads the architecture, development, governance, and operational excellence of AssetMark’s Azure and Snowflake data platform. Designs scalable ETL/ELT pipelines, optimizes performance and costs, establishes DataOps, observability, lineage, security, and SLAs, and mentors engineers. Partners with data science and product teams to enable machine learning, MLOps, feature engineering, and generative AI capabilities. Provides hands-on coding in Python and SQL while guiding technical strategy, standards, code reviews, CI/CD, and platform innovation.
Summary Generated by Built In
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 only 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. Direct experience with Snowflake, DBT, Fivetran, and Azure data lake is required. 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.

Required Qualifications


  • Experience: 10+ years of progressive experience in Data Engineering or Software Engineering, with a significant portion dedicated to cloud data platforms.
  • 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.

Compensation: The Base Salary range for this position is between $162,000-$190,000.

 

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. 

Skills Required

  • 10+ years of progressive experience in data engineering or software engineering, including substantial cloud data platform experience
  • Expert proficiency in Python and advanced SQL
  • Deep hands-on experience with Snowflake, including architecture, performance tuning, and Snowpark
  • Deep hands-on experience with Microsoft Azure data services
  • Experience with Snowflake, dbt, Fivetran, and Azure Data Lake
  • Experience leading technical design sessions and defining target-state architectures
  • Experience mentoring senior engineers
  • Strong experience with modern data stack tools, including dbt and workflow orchestration such as Airflow or Azure Data Factory
  • Experience working with large-scale, complex datasets
  • Exceptional communication skills and ability to explain technical trade-offs to executive stakeholders
  • Financial Services or Asset Management industry experience
  • Experience with AI/ML infrastructure, MLOps, feature engineering, or generative AI

AssetMark Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AssetMark and has not been reviewed or approved by AssetMark.

  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental health resources, HSAs/FSAs, and a wellness program with fitness reimbursement and incentives. These offerings extend beyond core insurance to support preventive care and overall wellbeing.
  • Retirement Support — A 401(k) with company matching and a range of investment options is complemented by performance and recognition bonuses. Together they strengthen long‑term financial security and total rewards.
  • Leave & Time Off Breadth — Salaried roles include flexible “unlimited” time off and paid sick time, while all employees receive paid holidays and a paid volunteer day. Additional leaves cover civic duties, military service, and bonding with a new child.

AssetMark Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Concord, CA
727 Employees
Year Founded: 1996

What We Do

AssetMark’s platform empowers advisors to provide the highest level of service possible to their clients. We provide financial advisors with innovative solutions, insightful guidance, and our undivided attention. Our company’s mission is centered around helping financial advisors make a difference in the lives of their clients. To help them do that, we aim to provide advisors with holistic support. Whether that’s through compelling technology that facilitates a better client experience, consulting services that ensure an advisor’s business is running at its best, or offering a comprehensive suite of investment solutions.

Similar Jobs

Lowe’s Logo Lowe’s

Senior Data Engineer

Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Hybrid
Charlotte, NC, USA
300000 Employees

Optum Logo Optum

Senior Data Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Raleigh, NC, USA
160000 Employees
92K-164K Annually

Jellyfish Logo Jellyfish

Senior Data Engineer

Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
Remote or Hybrid
United States
225 Employees
165K-235K Annually

NinjaOne Logo NinjaOne

Senior Data Engineer

Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Remote or Hybrid
18 Locations
2000 Employees
110K-200K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account