{"id":1201713,"url":"https://alion.io/job/assetmark-senior-data-engineer","title":"Senior Data Engineer","company":{"id":5445,"name":"AssetMark","domain":"assetmark.com","url":"https://alion.io/company/assetmark","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":162000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Data Vault","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-24T21:16:29Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T03:23:13Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description:\nAssetMark 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.\nThe Job/What You'll Do:\nThe 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.\nWe can only consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office.\nResponsibilities:\nI. Data Architecture & Strategic Design\nPlatform 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.\nEnd-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.\n 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).\nCost Optimization: Drive FinOps practices within the data platform, focusing on optimizing Snowflake compute usage, storage costs on Azure, and overall cost-per-query efficiency.\nII. Engineering Excellence & Team Leadership\nHands-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.\nStandards & Governance: Define, document, and enforce engineering best practices, architectural design patterns, and coding standards across the data team.\nCode 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.\nMentorship: Actively mentor and coach junior and mid-level data engineers on technical depth, debugging complex distributed systems, and modern data stack methodologies.\n 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.\nIII. Data Governance & Reliability (DataOps)\nData 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.\nData Lineage & Cataloging: Ensure comprehensive data lineage is captured and maintained to support transparency, auditing, and impact analysis across the platform.\nSecurity & 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.\n 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.\nIV. AI/ML Enablement & Innovation\nAI 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.\nGenAI 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.\nFeature Engineering: Guide the team on best practices for designing and curating versioned, high-quality feature sets for production-ready machine learning models.\nRequired Qualifications\nExperience: 10+ years of progressive experience in Data Engineering or Software Engineering, with a significant portion dedicated to cloud data platforms.\nTechnical Depth: Expert proficiency in Python and Advanced SQL. Deep, hands-on experience with Snowflake (architecture, performance tuning, Snowpark) and Microsoft Azure data services.\nLeadership & Design: Proven experience leading technical design sessions, defining target state architectures, and mentoring senior engineers.\nDataOps Fluency: Strong experience with modern data stack tools, including dbt (Data Build Tool) and workflow orchestration (Airflow, Azure Data Factory).\nDomain: Experience working with large-scale, complex datasets, preferably within the Financial Services or Asset Management industry.\nSoft Skills: Exceptional communication skills with the ability to articulate complex technical trade-offs to non-technical executive stakeholders.\nCompensation: The Base Salary range for this position is between $162,000-$190,000.\nThis 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.\nCandidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.\nWho We Are & What We Offer:\nWe 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.\nOur Mission\nOur 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.\nOur Values\nHeart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day.\nWe believe in:\nLeading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities.\n\nObsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships.\n\nUnyielding Integrity, doing what’s right, always. Even when it’s hard.\n\nCollective Respect, in being authentic, inclusive and valuing all voices while winning together.\n\nOperating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions.\n\nThese values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family.\nOur Culture & Benefits\nOur 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.\nFlex Time or Paid Time Off and Sick Time Off\n\n401K - 6% Employer Match\n\nMedical, Dental, Vision - HDHP or PPO\n\nHSA - Employer contribution (HDHP only)\n\nVolunteer Time Off\n\nCareer Development / Recognition\n\nFitness Reimbursement\n\nHybrid Work Schedule\n\nAs an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.","description_format":"text","description_chars":8380,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-09-24T21:16:29Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":40,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":true},"html_url":"https://alion.io/job/assetmark-senior-data-engineer","json_url":"https://alion.io/job/assetmark-senior-data-engineer.json","meta":{"generated_at":"2026-09-29T00:38:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":469,"day_limit":5000,"remaining_today":4531,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}