{"id":3044670,"url":"https://alion.io/job/raymond-james-principal-data-engineer","title":"Principal Data Engineer","company":{"id":1768977,"name":"Raymond James","domain":"raymondjames.com","url":"https://alion.io/company/raymondjames-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":22,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saint Petersburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":415},"experience_years_min":15,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Oracle","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-22T03:53:30Z","board_verified":false,"closed_at":null,"days_open":92,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":92},"description":"Job Description Summary\nWe are seeking a highly experienced Principal Data Engineer to provide technical leadership for mission-critical Security/Product Master Data Platforms and other enterprise-scale data platforms that support the entire enterprise. This role requires deep data engineering expertise, strong database and platform engineering skills, hands-on experience with Oracle, Redshift, Python, Spark, Glue, AWS EMR, and Iceberg, and proficiency using AI to improve engineering productivity, solution quality, and delivery velocity.The candidate will be expected to lead modernization of enterprise data capabilities toward cloud data lakehouse and medallion architecture while maintaining operational stability, resiliency, performance, security, and enterprise availability.\nAs a Principal Engineer, you will act as the technical authority for enterprise-wide platforms that manage and distribute critical security, product, and other high-value enterprise data used across business, operations, analytics, regulatory, and downstream application capabilities. The ideal candidate combines strong functional understanding of master data and enterprise data domains with hands-on engineering depth, AI-enabled engineering practices, and experience transitioning legacy or operational data platforms toward a modern cloud data lakehouse architecture using medallion patterns.\nJob Description\nThis position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.\nPlease note: This role is not eligible for Work Visa sponsorship, either currently or in the future.\nResponsibilities\nTechnical Strategy & Architecture\nMaster Data Platforms and other enterprise-scale data platforms, ensuring scalability, reliability, availability, performance, and enterprise-wide reuse.\n\nEstablish engineering standards, data architecture patterns, integration patterns\n\nDefine and drive the target-state architecture for enterprise Security/Product , and design principles for mission-critical master data and enterprise-scale data platforms.\n\nLead system design and modernization roadmaps for high-impact initiatives across security, product, master data, and other enterprise-scale data domains.\n\nEngineering Leadership\nProvide technical leadership across multiple teams, not limited to a single project or squad.\n\nAct as a trusted advisor to leadership on technology strategy, trade-offs, and long-term platform evolution.\n\nDrive alignment across engineering, data, and platform teams to ensure consistency and reusability.\n\nSolution Design & Development\nLead the design and development of enterprise-grade Python applications and distributed systems.\n\nOversee architecture and implementation of data pipelines, APIs, and large-scale data processing frameworks.\n\nEnsure solutions are designed with high availability, fault tolerance, and observability.\n\nData & Database Engineering\nLead end-to-end engineering ownership for mission-critical database and master data platforms, including development, support, maintenance, lifecycle management, performance, reliability, and operational excellence.\n\nApply advanced database optimization strategies across Oracle and related platforms, including performance tuning, partitioning, query optimization, resiliency, recoverability, and scalability.\n\nEnsure efficient data modeling, storage, and access patterns across platforms.\n\nApply hands-on expertise in Oracle/ODI, Python, Spark, AWS EMR, Redshift, S3, and Iceberg to design, build, and modernize enterprise data platforms.\n\nLead transition of legacy and operational master data capabilities toward modern cloud data lakehouse architecture using S3, Iceberg, Redshift, and medallion patterns for ingestion, transformation, curation, quality, and governed consumption.\n\nData Understanding\nStrong functional and data understanding of Security/Product Master Data Platforms is required, including how enterprise master data is modeled, governed, integrated, consumed, and supported.\n\nMust have experience across core enterprise data domains, including Clients, Accounts, Assets and Liabilities, Trades and Activities, Security/Product Master, with particular depth in Security/Product Master Data.\n\nMust have hands-on experience working with master data platforms supporting these domains, including business meaning, reference data, data lineage, data quality, integration, stewardship, downstream consumption, and operational support patterns.\n\nAbility to partner with business, architecture, governance, operations, and application teams to translate functional data needs into durable platform capabilities and reusable data products.\n\nCI/CD & Platform Engineering\nArchitect and standardize CI/CD pipelines using Jenkins and modern DevOps practices.\n\nDrive adoption of automation-first principles across build, test, and deployment workflows.\n\nPromote DevSecOps best practices and governance controls.\n\nCloud & Containerization\nLead cloud modernization of enterprise master data capabilities, including transition to cloud data lakehouse architecture and medallion-based bronze, silver, and gold data layers.\n\nInfluence AWS-based data architecture decisions, including appropriate use of Spark, AWS EMR, cloud storage, orchestration, data quality controls, and scalable consumption patterns.\n\nDrive modernization while preserving operational continuity, enterprise availability, data trust, cost discipline, security, and compliance expectations.\n\nPerformance, Reliability & Scalability\nEstablish frameworks for performance engineering, observability, monitoring, SLAs, SLOs, SLIs, and operational readiness for enterprise-wide master data platforms.\n\nLead root cause analysis of critical production issues and define systemic improvements across platform reliability, data quality, resiliency, recovery, and downstream dependency management.\n\nEnsure the platform meets enterprise-grade resiliency, recovery, security, and availability requirements for mission-critical data distribution.\n\nAI-Enabled Engineering\nDemonstrate proficiency in using AI tools and AI-assisted engineering practices to improve individual and team efficiency, productivity, solution quality, and delivery velocity.\n\nUse AI responsibly to accelerate analysis, design, coding, testing, documentation, troubleshooting, and operational support while maintaining appropriate engineering judgment, security, and governance standards.\n\nIdentify opportunities to apply AI to develop better technical solutions, reduce manual effort, improve platform reliability, and increase the speed of modernization initiatives.\n\nMentorship & Talent Development\nMentor senior engineers and leads, raising the overall technical bar of the organization.\n\nDrive knowledge sharing, standards adoption, and engineering excellence initiatives.\n\nServe as a role model for engineering best practices and problem-solving.\n\nTechnical Skills\nExpert-level proficiency in data engineering and large-scale data processing using Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, distributed systems design, and modern platform engineering patterns.\n\nDeep expertise in CI/CD using Jenkins, Kubernetes, and containerization.\n\nStrong experience designing, building, and operating data pipelines, APIs, batch and near-real-time data processing capabilities, data quality controls, lineage, and enterprise consumption patterns.\n\nExperience modernizing legacy or operational platforms into cloud data lakehouse architecture using medallion patterns, including bronze, silver, and gold layers, curated data products, and governed consumption.\n\nExperience developing, supporting, maintaining, and modernizing mission-critical database and master data platforms in production environments.\n\nStrong functional understanding of enterprise master data domains, especially Security/Product Master, with exposure to Clients, Accounts, Assets and Liabilities, Trades, and Activities.\n\nProficiency using AI tools and AI-assisted engineering practices to improve productivity, accelerate delivery, enhance solution design, improve documentation, and increase engineering velocity.\n\nAdvanced knowledge of database performance optimization, data modeling, platform reliability, and production support for mission-critical data platforms.\n\nStrong understanding of cloud platforms, including AWS, Azure, and GCP, and modern architecture patterns.\n\nExperience in enterprise architecture, system integration, and platform engineering.\n\nLeadership & Behavioral Competencies\nStrategic thinker with ability to connect technical decisions to business outcomes\n\nStrong influence skills across teams without direct authority\n\nExceptional problem-solving and system-level thinking\n\nExcellent communication skills, including ability to engage with senior leadership and stakeholders\n\nRequired Qualifications:\n15+ years of progressive engineering experience, including technical leadership for enterprise-scale data, database, or platform engineering capabilities.\n\nStrong hands-on data engineering experience with Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, and large-scale data processing patterns.\n\nExperience developing, supporting, maintaining, and modernizing mission-critical database, master data, or enterprise-scale data platforms in production environments.\n\nStrong functional and data understanding of Security/Product Master Data Platforms, with working knowledge of enterprise data domains such as Clients, Accounts, Assets and Liabilities, Trades, and Activities.\n\nExperience with cloud data lakehouse architecture, medallion patterns, data quality controls, lineage, governed consumption, and reusable data product patterns.\n\nProficiency using AI tools and AI-assisted engineering practices to improve productivity, solution quality, documentation, troubleshooting, and delivery velocity.\n\nStrong communication, technical influence, and cross-functional leadership skills with the ability to engage engineering, architecture, governance, operations, product, and business stakeholders.\n\nExperience in Agile/Scrum at scale, such as SAFe or similar frameworks.\n\nExperience in financial services, wealth management, capital markets, Security/Product Master Data, or enterprise reference data platforms.\n\nExperience leading modernization of enterprise master data or reference data platforms from legacy technologies toward cloud data lakehouse, medallion architecture, or governed data product models.\n\nExperience with enterprise data governance, data quality, lineage, stewardship, metadata management, and enterprise consumption patterns at scale.\n\nExperience applying AI-enabled engineering practices to improve development efficiency, operational productivity, solution quality, and delivery velocity.\n\n Education\nBachelor’s: Business Administration, Bachelor’s: Computer and Information Science (Required), Bachelor’s: Computer EngineeringWork Experience\nGeneral Experience - More than 15 yearsCertifications\nTravel\nLess than 25% Workstyle\nHybridThe total compensation for this position includes base salary or wages, andmay include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.\nAt Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. \nWe expect our associates at all levels to:\nGrow professionally and inspi...","description_format":"text","description_chars":12676,"description_truncated":true,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors"],"lifecycle":[{"event":"open","at":"2026-10-21T23:57:31Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.234,"p_room":0.28,"age_days":92,"expected_fill_days":16,"reasons":["conf:50","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/raymond-james-principal-data-engineer","json_url":"https://alion.io/job/raymond-james-principal-data-engineer.json","meta":{"generated_at":"2026-10-24T22:00:42Z","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":32217,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":1768977},"rest":"https://alion.io/mcp/rest/get_company?id=1768977"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fraymond-james-principal-data-engineer"},{"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%2Fraymond-james-principal-data-engineer"},{"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%2Fraymond-james-principal-data-engineer"},{"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/raymond-james-principal-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fraymond-james-principal-data-engineer"}]}