{"id":2300887,"url":"https://alion.io/job/mercury-insurance-director-data-warehouse-engineering","title":"Director, Data Warehouse Engineering","company":{"id":8014,"name":"Mercury Insurance","domain":"mercuryinsurance.com","url":"https://alion.io/company/mercury-insurance","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":118078,"max":330661,"currency":"USD","period":"year","gross":null,"usd_annual":330661},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-11T21:06:48Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-19T21:43:21Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Overview\nJoin an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!\nThis is a high-impact leadership opportunity for a true data warehouse expert to help modernize a critical enterprise platform. You’ll lead the evaluation, optimization, and future direction of an overloaded Redshift-based environment, guide major migration and architecture decisions, and partner with a sizable data engineering organization to bring the warehouse to the next level. We’re looking for a leader who combines deep technical credibility with strong strategic judgment, stakeholder influence, and a forward-looking view on how AI can improve data architecture, warehouse management, and ETL performance.\nPosition Summary:\nMercury Insurance is looking for a Director, Data Warehouse Engineering to lead the strategy, architecture, and delivery of our enterprise data warehouse platform. This leader will own the direction of the data warehouse engineering function and help modernize the way data is built, governed, and delivered across the company.\nThis role combines people leadership, architectural depth, and operational excellence. You will lead teams that build and support scalable EDW data platforms, enterprise data models, and high-reliability pipelines that serve analytics, reporting, operational use cases, and AI-enabled solutions. You will partner closely with Engineering, Data Science, Product, and business stakeholders to ensure Mercury’s data foundation is trusted, scalable, and aligned with business priorities.\nThe ideal candidate brings strong experience leading data warehousing and data engineering organizations, modernizing enterprise data platforms, and driving execution across a complex environment. This is a highly visible leadership role for someone who can set vision, raise engineering standards, and develop high-performing teams while staying connected to the technical details that matter.\nGeo-Salary Information\n An in-person interview may be required during the hiring process\nState specific pay scales for this role are as follows:\n$118,078 to $330,661 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)\n$118,078 to $330,661 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)\n$118,078 to $330,661 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)\nIn CA: Typical hiring range is $201,933 to $280,462\nThe expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.\nResponsibilities\nEssential Job Functions:\nDefine and lead the vision, roadmap, and operating model for data warehouse engineering in support of Mercury’s enterprise data strategy.\nLead multiple teams or a broader engineering function responsible for enterprise data warehouse development, data marts, core data models, and scalable data pipelines.\nDrive modernization of the data platform, including data modeling standards, orchestration patterns, testing frameworks, observability, and automation to optimize efficiency.\nEstablish engineering standards for reliability, performance, scalability, data quality, and maintainability across the warehouse and pipeline ecosystem.\nCross-collaborate with engineering/technology and data sciences teams to establish SLAs, data contracts, and data quality standards.\nOversee the design and implementation of end-to-end data processing solutions that support enterprise reporting, business operations, data science, and AI use cases.\nPartner with senior leaders across Engineering, Data Science, Architecture, and business teams to align investments, priorities, and delivery plans.\nTranslate business goals into a clear portfolio of data platform capabilities, delivery of roadmaps, and measurable outcomes.\nLead the evolution of enterprise data models, including decisions on grain, entities, relationships, conformed dimensions, and slowly changing dimensions.\nDrive a data product mindset across the organization, helping teams move from reactive ticket-based delivery to scalable, reusable data capabilities.\nBuild a strong engineering culture grounded in ownership, continuous improvement, automation, and disciplined execution.\nMentor and develop managers, senior engineers, and technical leads, while strengthening succession planning and organizational capability.\nBuild and manage multiple teams to execute on establishing data strategy.\nGuide to capacity planning, prioritization, vendor and tool decisions, and resource allocation across the function.\nPartner with engineering teams to productionize pipelines and integrations with strong service levels, resilience, and operational support.\nChampion governance, controls, and best practices that improve trust in enterprise data and reduce manual effort and technical debt.\nIdentify opportunities to use AI and automation to improve developer productivity, reduce repetitive work, and accelerate delivery.\nQualifications\nEducation:\nMinimum:\nBachelor's degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Business Administration, or related technical field\nMaster’s degree preferred or equivalent combination of education and/or experience\nExperience:\nMinimum:\n15+ years of experience in data engineering, data warehousing, or related disciplines, with significant experience leading high-performing engineering teams and managers.\n10+ years of strong people leadership experience, including coaching leaders, building teams, setting expectations, and creating accountability.\nProven success leading enterprise-scale data warehouse or lake house platforms in complex business environments.\nPreferred:\n5 or more years of experience leading large-scale data warehouse overhauls, pipeline migrations, and performance improvement initiatives across legacy platforms and modern cloud architectures.\nStrong technical and strategic background evaluating platforms such as Redshift, Snowflake, Databricks, or similar technologies, with the ability to recommend a path forward and build stakeholder alignment.\n\nExperience leading and developing data engineering organizations, including inheriting and guiding teams responsible for warehouse architecture, ETL performance, and execution at scale.\n\nExperience with leveraging AI to drive process efficiencies across optimization, modernization, management, performance. \nKnowledge and Skills:\nDeep expertise in enterprise data architecture and data modeling.\nRedesign and migration of foundational data pipelines and warehouse structures involving 1000s of tables, data pipelines and feeds.\nExperience partnering with cross-functional stakeholders and senior leaders to prioritize roadmaps, resolve trade-offs, and deliver business value.\nLead production support for EDS and support mandatory data requirements.\nMastery of modern modeling approaches, including 3NF, dimensional, star, and snowflake patterns, with the judgment to apply the right model for the business need.\nStrong understanding of operational excellence in data engineering, including testing, data quality frameworks, observability, incident reduction, and service reliability.\nExpert-level proficiency in SQL and strong proficiency in Python.\nProduction experience with modern data engineering tools and practices, including Informatica, DBT, orchestration platforms such as Airflow, Tivoli, or Dagster, and Git-based development workflows.\nHands-on experience with cloud data warehouse or Lakehouse technologies such as Redshift, Databricks, Snowflake, or BigQuery.\nFamiliarity with layered(medallion) data architecture patterns.\nStrong experience with CI/CD, automation-first engineering practices, and scalable software delivery in cloud environments such as AWS, GCP, or Azure.\nStrong communication skills with the ability to influence technical and non-technical audiences without authority.\nExperience using AI tools such as OpenAI, Claude, or Gemini to solve high-value operational or engineering problems.\nBachelor’s degree in computer science or a related field, or equivalent practical experience. Master’s degree preferred.\nExperience in insurance, SaaS, or marketplace environments is a plus.\nAbout the Company\nWhy choose a career at Mercury?\nAt Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.\nOur team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.\nWe care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.\nLearn more about us here: https://www.mercuryinsurance.com/about/careers\nPerks and Benefits\nWe offer many great benefits, including:\nCompetitive compensation\nFlexibility to work from anywhere in the United States for most positions\nPaid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)\nIncentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)\nMedical, dental, vision, life, and pet insurance\n401 (k) retirement savings plan with company match\nEngaging work environment\nPromotional opportunities\nEducation assistance\nProfessional and personal development opportunities\nCompany recognition program\nHealth and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more\nMercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.\nPay Range\nUSD $107,344.71 - USD $300,603.92 /Yr.","description_format":"text","description_chars":10304,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":10,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Retirement plans"],"hiring_locations":[{"name":"United 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