Senior Data Engineer

AssetMark; Charlotte (NC); Hybrid; USD 162,000 - 190,000; Full time

Benefits offered by this job

Hybrid work schedule

Medical, Dental, Vision — benefits

401K match

Job summary

AssetMark is seeking a Senior Data Engineer/Technical Lead to architect and govern a scalable data platform, blending hands-on coding with strategic leadership. The role focuses on Azure and Snowflake, data modeling, and integrating AI/ML capabilities into data workflows. Hybrid schedule near Charlotte, NC.

Responsibilities include end-to-end ELT/ETL design, tool selection, cost optimization, and mentoring engineers while ensuring data quality and security across production datasets.

Qualifications

• 10+ years in data engineering or software engineering with cloud data platforms.
• Strong Python and advanced SQL expertise with data modeling knowledge.
• Experience leading technical design sessions and mentoring engineers.

Responsibilities

• Define and drive the technical vision for modern data architecture on Azure and Snowflake.
• Lead end-to-end ELT/ETL pipelines for mission-critical workloads.
• Evaluate new data tools, orchestrators, and observability platforms.
• Implement FinOps practices to optimize compute and storage costs.
• Write and review complex Python/SQL code; contribute hands-on delivery.
• Own data quality, lineage, governance, and security policies.
• Mentor junior and mid-level engineers and lead CI/CD implementations.
• Collaborate with Security, Compliance, and Data Science teams on data strategy.
• Architect data flows to support AI/ML model training and MLOps.
• Pilot GenAI techniques to automate engineering tasks and create data products.

Skills

Python

Advanced SQL

Leadership

Data modeling

Cloud data platforms

Mentoring

DataOps

Tools

Snowflake

dbt

Azure Data Factory

Airflow

Fivetran

Azure Synapse

Snowpark

Job description

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.

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

• 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.
• 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.
• 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.
• 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.

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.

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

Our Culture & Benefits

• 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.

AssetMark is a fast‑growing financial technology company changing the game for advisors and their clients. If you are searching for a challenging, rewarding, and evolving career, you have come to the right place. We offer competitive salaries, full benefits, and excellent opportunities for growth. To learn more about us, visit our website.