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Today

Senior Data Engineer

Assetmark Charlotte, NC

Charlotte, NC

Today

$162k - $190k/yr Full time Backend Developer Senior Apache Airflow

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Job Description

Assetmark is seeking a Senior Data Engineer and technical lead to drive the end-to-end design, governance, and operational excellence of its data platform. This role focuses on hands-on leadership across scalable Azure and Snowflake architecture, with responsibilities that extend into data observability and the integration of AI/ML into the data ecosystem.

Based in Charlotte, NC with a hybrid work schedule, the successful candidate will help shape the technical vision, strengthen platform reliability for mission-critical workloads, and partner across engineering, security, compliance, data science, and product to deliver production-ready data capabilities.

Responsibilities

Define, champion, and execute a modern data architecture technical vision across Azure and Snowflake.
Architect and implement highly scalable, resilient ELT/ETL pipelines with performance tuned for mission-critical financial workloads.
Provide technical guidance for evaluating and selecting new data tools and frameworks, including orchestration, observability, and vector databases.
Drive FinOps practices by optimizing Snowflake compute usage, Azure storage costs, and overall cost-per-query efficiency.
Lead by example through hands-on development, primarily using Python and SQL, including writing, optimizing, and reviewing complex code.
Define, document, and enforce engineering best practices, architectural design patterns, and team coding standards.
Oversee code review and deliver high-quality technical feedback to support scalability, security, maintainability, and alignment with the platform vision.
Mentor junior and mid-level data engineers, including support for debugging complex distributed systems and modern data stack methodologies.
Lead CI/CD integration for data solutions using tools such as Azure DevOps and GitHub Actions, ensuring robust testing, deployment automation, and operational readiness.
Own data observability strategy and implementation (including Monte Carlo) to monitor health, freshness, volume, and lineage across production datasets.
Ensure comprehensive data lineage is captured and maintained for transparency, auditing, and impact analysis.
Collaborate with security and compliance teams on data governance policies, including PII masking, data tokenization, and RBAC for financial data.
Define, monitor, and enforce data SLAs and SLOs, and lead blameless post-mortems following data incidents.
Partner with Data Science and Product to design data flows and infrastructure supporting AI/ML training, inference, and MLOps.
Provide technical leadership for piloting and implementing Generative AI (GenAI) using LLMs through tools like Snowflake Cortex or open-source frameworks to automate engineering tasks and enable new data products.
Guide best practices for designing and curating versioned, high-quality feature sets for production-ready machine learning models.

Requirements

10+ years of progressive experience in Data Engineering or Software Engineering, with a significant portion dedicated to cloud data platforms.
Expert proficiency in Python and Advanced SQL.
Deep, hands-on experience with Snowflake (architecture, performance tuning, Snowpark) and Microsoft Azure data services.
Proven experience leading technical design sessions, defining target-state architectures, and mentoring senior engineers.
Strong experience with modern data stack tools, including dbt (Data Build Tool) and workflow orchestration (Airflow, Azure Data Factory).
Experience working with large-scale, complex datasets, preferably in Financial Services or Asset Management.
Exceptional communication skills, including articulating complex technical trade-offs to non-technical executive stakeholders.
Direct experience with Snowflake, DBT, Fivetran, and Azure data lake is required.
Ability to accommodate a hybrid work schedule and be close to the Charlotte, NC office.
Must be legally authorized to work in the US. Visa sponsorship is not available for this position.

Technologies

Azure, Snowflake, Azure Synapse, Azure Data Factory, Azure data lake
DBT (Data Build Tool), Fivetran, Airflow, Monte Carlo
Python, SQL, CI/CD
Azure DevOps, GitHub Actions
Role-Based Access Control (RBAC)
AI/ML, MLOps, Generative AI (GenAI), LLMs, Snowflake Cortex
Snowpark, vector databases, PII masking, data tokenization

Compensation

The base salary range for this position is $162,000 to $190,000 per year. This role may also be eligible for additional variable incentive compensation and competitive benefits.

Benefits

Flex Time or Paid Time Off and Sick Time Off
401K with 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

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