Jobs / Ass***
Director, Data Engineering
Ass*** · Charlotte, NC, United States
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Charlotte, NC, United States192,000-240,000 USD/yearlyHybrid
Remuneration
192,000-240,000 USD/yearly
Location
Charlotte, NC, United States
Visa sponsorship
Sponsors visa
Job summary
JOB DESCRIPTION: Ass*** is a leading wealth management platform dedicated to empowering independent financial advisors. Our mission is to enable financial advisors to make a profound difference in the lives of their clients. More than 10,000 advisors rely on Ass*** for our investment offerings, innovative technology, and expert services.
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-hybridLI-TN1Who We Are &We are AssetMark, a company on the move, shaping the future of financial serviceGrowth is in our DNA.Every day, we combine technology, insight, and collaboration to create new possiAt AssetMark your ideas matter; they’re heard, valued, and drive meaningful chanJoin a team that sets new standards and creates space for you to thrive and do yOur MissionOur mission is simple: to help our 10,500+ financial advisors make a meaningful
Qualifications
- 10+ years of progressive experience in Data Engineering, Data Architecture, Software Architecture, or Technology Leadership, with at least 3+ years in people management or dedicated technical leadership.
- Direct experience leading modern cloud data platform initiatives using Snowflake, including performance tuning, environment strategy, RBAC/security, data sharing, workload management, and cost optimization.
- Hands-on experience with Fivetran or comparable managed ingestion platforms, including connector governance, schema drift handling, ingestion monitoring, and source-to-target validation.
- Deep practical experience with dbt, including model design, macros, tests, documentation, exposures, lineage, CI/CD, and promotion patterns across environments.
- Strong SQL and Python
- Financial Services, Wealth Management, or FinTech experience, including familiarity with custodial data, account/household data, trade processing, billing, performance, and regulatory reporting.
- Experience establishing medallion-style data layers, data product operating models, semantic/serving layers, or governed self-service analytics patterns.
- Experience enabling downstream Data Science, AI/ML, product analytics, and operational reporting teams through curated data products and reliable feature-ready datasets.
- Experience managing vendor contracts, platform spend, and enterprise adoption of cloud data
Responsibilities
- DATA PLATFORM DEVELOPMENT
- MIGRATION LEADERSHIP AND DELIVERY EXECUTION
- Manage cutover and coexistence: Define phased migration strategies, dependency maps, rollback plans, data validation routines, parallel-run approaches, and business-readiness checkpoints to minimize operational risk.
- Drive reconciliation and trust: Ensure migrated datasets meet clear acceptance criteria for completeness, accuracy, timeliness, lineage, access control, and auditability before decommissioning legacy assets.
- HANDS-ON ENGINEERING OVERSIGHT AND OPERATIONAL EXCELLENCE
- Stay technically engaged: Remain hands-on in architecture reviews, critical code reviews, data model reviews, and production-readiness decisions across Python, SQL, Snowflake, dbt, and orchestration patterns.
- Run the platform like a product: Own platform reliability, performance, SLAs/SLOs, incident response, capacity planning, Snowflake cost optimization, and continuous improvement of developer experience.
- Translate governance into controls: Implement data quality, lineage, classification, privacy, PII handling, audit trails, and access-control policies through automated engineering practices and platform guardrails.
- Support AI/ML readiness: Architect pipelines and curated feature-ready datasets that enable data science experimentation, model training, inference, and responsible AI governance.
- STAKEHOLDER LEADERSHIP AND TEAM DEVELOPMENT
- Lead and scale the team: Build, mentor, and develop a high-performing team of data engineers and architects, creating a culture of ownership, craftsmanship, technical rigor, and measurable delivery.
- Partner at the executive level: Communicate platform strategy, tradeoffs, migration progress, risks, and investment needs in a way that builds confidence with senior technology and business leaders.
Skills
CommunicationLeadership
Degrees
Associate
Languages
Arabic
Industry
AutomotiveBankingEducationEnergyFintech
Company size
EnterpriseSmb