{"id":2301114,"url":"https://alion.io/job/mercury-insurance-principal-data-architect","title":"Principal Data Architect","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":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":107344,"max":300603,"currency":"USD","period":"year","gross":null,"usd_annual":300603},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Claude","optional":true},{"name":"Gemini","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-11T21:06:48Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-27T23:15:01Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Overview\nPosition Summary:Mercury Insurance is seeking a Principal Data Architect to lead the strategy, design, and evolution of our enterprise data ecosystem. This leader will partner closely with Engineering, Data Science, and business teams to define and execute a scalable data architecture that supports analytics, operational reporting, and data-driven product capabilities.\nThis is a hands-on technical leadership role that blends deep data architecture expertise, architectural thinking, and cross-functional influence. The Principal Data Architect will own the long-term direction for enterprise data models, pipelines, and platform standards while guiding teams responsible for delivering reliable, governed, and high-performing data solutions. This role is accountable for building a modern data foundation that is scalable, secure, and aligned to real business needs across Mercury.\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$107,344.71 - $300,603.92 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)\n$107,344.71 - $300,603.92 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)\n$107,344.71 - $300,603.92 (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 $201,933.00 - $280,462.00\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:Enterprise data strategy and architecture\nDefine and lead the enterprise data architecture strategy, target state, and multi-year roadmap for Mercury’s data platform\nEstablish reference architectures, standards, and guardrails for data ingestion, transformation, modeling, orchestration, quality, observability, and consumption\nDrive architecture decisions for enterprise data platforms, including EDW, lakehouse, streaming, operational data integration, and domain-oriented data products\nPartner with senior Technology and business leaders to align data investments to enterprise priorities, business value, and long-term scalability\nEvaluate current-state architecture, identify gaps, and lead rationalization of tools, patterns, and technical debt across the data ecosystem\nTechnical leadership and architecture enablement\nProvide technical direction and architectural leadership to data engineering, analytics engineering, and platform teams\nSet standards for design quality, model integrity, operational excellence, and scalable delivery across the Enterprise Data & Operations function\nMentor engineers and technical leaders in architectural thinking, modern engineering practices, and delivery excellence\nBuild an automation-first culture focused on reliability, repeatability, maintainability, and continuous improvement\nRaise the bar on technical quality, design rigor, and execution across the data engineering organization\nPlatform and solution delivery\nDesign, develop, and oversee end-to-end enterprise data solutions supporting multiple data domains, data marts, and analytics use cases\nGuide the design and modernization of foundational enterprise data models, including decisions around grain, entities, relationships, conformed dimensions, and slowly changing dimensions\nEnsure scalable batch and streaming data pipelines are built to support both enterprise reporting and advanced analytics environments\nDrive implementation of layered data architecture patterns, including Bronze/Silver/Gold or equivalent logical data zones\nPartner with Engineering teams to productionize data pipelines with strong performance, resiliency, and operational supportability\nData reliability, governance, and operational excellence\nOwn the reliability, quality, consistency, and observability of Mercury’s core data assets and pipelines\nEstablish and enforce data quality frameworks, automated testing, lineage, monitoring, alerting, and recovery processes\nDefine service levels and operational standards for critical data products and pipelines\nReduce manual processes and technical debt through standardization, automation, and disciplined platform engineering\nPartner with security, compliance, and governance stakeholders to ensure data architecture aligns with enterprise risk and control requirements\nCross-functional influence and innovation\nTranslate business problems into scalable data products, architecture patterns, and prioritized roadmaps\nPartner across Product, Engineering, Data Science, Analytics, and business teams to ensure the data platform enables real business outcomes\nLead proof of concepts, architecture reviews, and technology evaluations for new tools and capabilities\nInfluence vendor selection, platform direction, and engineering standards through fact-based analysis and practical technical leadership\nIdentify opportunities to apply GenAI and LLM capabilities to improve engineering productivity, data operations, governance, and insight generation\nQualifications\nEducation:\nBachelor’s degree in computer science, Engineering, Information Systems, or a related field; Master’s degree preferred\nExperience:\n12+ years of experience in data engineering, data architecture, or enterprise data platform leadership\n5-10 years of experience leading, mentoring, and growing high-performing data engineering or analytics engineering teams\nKnowledge and Skills:\nProven experience defining enterprise data strategy and leading large-scale modernization of data pipelines, platforms, and models\nDeep expertise in enterprise data modeling, including 3NF, dimensional, star, and snowflake patterns, with strong judgment on how to model real-world business processes\nStrong experience redesigning foundational data models and pipelines with a focus on scalability, usability, and reliability\nExpert-level SQL and Python skills, with strong production experience in Informatica and dbt, including models, testing, and package management\nExperience with orchestration frameworks such as Airflow, Dagster, Tivoli, or similar tools\nFamiliarity with streaming and event-driven data technologies such as Kafka or comparable platforms\nHands-on experience with modern warehouse and lakehouse platforms such as Snowflake, Databricks, Redshift, or BigQuery\nStrong understanding of cloud-native engineering practices across AWS, GCP, or Azure\nDemonstrated commitment to engineering best practices, including Git, CI/CD, infrastructure automation, testing, and DRY design principles\nExperience implementing data quality, observability, lineage, and operational controls in production environments\nStrong stakeholder management and communication skills, with the ability to influence technical and non-technical leaders\nData product mindset with the ability to turn business needs into architecture, roadmaps, and execution plans\nExperience in insurance, SaaS, or marketplace environments is a plus\nExperience leveraging GenAI or LLM platforms such as OpenAI, Claude, or Gemini to solve meaningful business and engineering problems is strongly preferred\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":9097,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":5,"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 States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-10-11T21:06:48Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.654,"p_room":0.35,"age_days":15,"expected_fill_days":4,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":300603,"is_top_pay":true},"html_url":"https://alion.io/job/mercury-insurance-principal-data-architect","json_url":"https://alion.io/job/mercury-insurance-principal-data-architect.json","meta":{"generated_at":"2026-10-28T00:50:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":996,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8014},"rest":"https://alion.io/mcp/rest/get_company?id=8014"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmercury-insurance-principal-data-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmercury-insurance-principal-data-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmercury-insurance-principal-data-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mercury-insurance-principal-data-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmercury-insurance-principal-data-architect"}]}