Pii Masking Data Jobs

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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 hiring a Senior Data Engineer / Technical Lead to help build and operate a modern data platform across Azure and Snowflake. This role combines hands-on engineering with technical leadership, including data governance, operational excellence, FinOps, and the integration of AI/ML and GenAI capabilities into production data flows.

What you’ll do

Define and drive the technical vision for modern data architecture spanning Azure and Snowflake.
Design and implement scalable, resilient ELT/ETL pipelines to support mission-critical financial workloads.
Lead technical evaluations and selection of new data tools and frameworks, including orchestration, observability, and vector databases.
Own FinOps practices to optimize Snowflake compute usage, Azure storage costs, and improve cost-per-query efficiency.
Write, optimize, and review complex code primarily in Python and SQL, with a focus on scalability, security, and maintainability.
Define and enforce engineering best practices, architectural design patterns, and coding standards across the data team.
Guide code review with high-quality, constructive feedback to keep engineering aligned with the defined architecture and vision.
Mentor junior and mid-level data engineers, including debugging complex distributed systems and applying modern data stack methodologies.
Lead CI/CD integration for data solutions using tools like Azure DevOps and GitHub Actions, ensuring testing, deployment automation, and operational readiness.
Implement data observability (for example, Monte Carlo) to monitor dataset health, freshness, volume, and lineage.
Ensure comprehensive data lineage is captured and maintained to support transparency, auditing, and impact analysis.
Collaborate with security and compliance teams to design data governance policies such as PII masking, data tokenization, and RBAC for financial data.
Define, monitor, and enforce data SLAs and SLOs, and lead blameless post-mortems after data incidents.
Partner with Data Science and Product teams on data flows and infrastructure for AI/ML training, inference, and MLOps.
Provide technical leadership in piloting and implementing GenAI, including LLM-based tooling through platforms such as Snowflake Cortex and open-source frameworks.
Guide the design and curation of versioned, production-ready feature sets for machine learning models.

What you bring

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 ability to lead technical design sessions, define target-state architectures, and mentor senior engineers.
Strong experience with modern data stack tools, including dbt and workflow orchestration tools such as Airflow and Azure Data Factory.
Experience working with large-scale, complex datasets, preferably in Financial Services or Asset Management.
Exceptional communication skills, including the ability to explain complex technical trade-offs to non-technical executive stakeholders.
Direct experience with Snowflake, dbt, Fivetran, and Azure data lake.
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.

Compensation & benefits

Salary range: $162,000 - $190,000 base salary (yearly). This position may also include additional variable incentive compensation and competitive 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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