{"id":1934593,"url":"https://alion.io/job/humaneva-group-principal-data-engineer","title":"Principal Data Engineer","company":{"id":3902831,"name":"Humaneva Group","domain":"humaneva.com","url":"https://alion.io/company/humaneva-group","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GDPR","optional":false},{"name":"Power BI","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Machine Learning","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-13T18:43:14Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"The Opportunity\nWe are looking for a high-caliber Principal Data Engineer to become Humaneva’s leading technical authority for the data ecosystem. This is a predominantly hands-on individual contributor role for an engineer who can lead the modernization of our data warehouse, improve pipeline reliability, and shape the future data platform through working solutions.\nYou will have substantial autonomy over data architecture, engineering standards, and technology selection. You will assess whether Snowflake should remain on the primary platform or whether Humaneva should evolve toward a more open, heterogeneous, or domain-oriented model. Significant decisions must be supported by clear context, alternatives, trade-offs, and recommendations that the CTO and technology teams can understand and challenge.\nROLE MISSION\nEstablish reliable, scalable, secure, and governed data engineering at Humaneva\nKey Responsibilities\nHands-on Data Engineering: Design, build, test, deploy, and operate production-grade pipelines, transformations, integrations, data models, and reusable platform capabilities. Personally lead the most complex topics and resolve critical engineering problems.\nData Platform Architecture: Assess the current DWH and define the target architecture. Decide which components should be retained, modernized, replaced, or redesigned, including the future role of Snowflake and the suitability of centralized, heterogeneous, or data mesh approaches.\nReliability, Quality & Observability: Introduce measurable reliability standards, automated data-quality controls, end-to-end monitoring, logging, alerting, incident handling, and root-cause analysis. Eliminate silent failures and reduce dependency on manual checks.\nTechnology Strategy: Independently evaluate and select technologies based on business fit, reliability, interoperability, security, maintainability, talent availability, and total cost of ownership. Use proofs of concept where evidence is needed.\nSelf-Service Enablement: Enable governed by self-service analytics through Power BI, SAS, and other approved platforms. Provide trusted and well-documented data products without weakening security, quality, or ownership controls.\nTechnical Leadership: Lead through delivery, design reviews, code reviews, and practical problem-solving. Mentor less-experienced engineers while raising implementation, testing, documentation, and operational standards across the team.\nStakeholder Collaboration: Work closely with Product, Clinical Operations, Finance, and other functions. Translate business needs into robust technical designs and explain significant decisions in clear business language.\nCost & Performance: Optimize compute, storage, processing, and operational costs. Introduce visibility into workload behavior and cost drivers and evaluate alternatives using total cost of ownership.\nScope Across the Data Lifecycle\nSource-system integration and batch or near-real-time ingestion\nData transformation, orchestration, modeling, and serving\nData warehouse and broader data platform architecture\nMetadata, cataloguing, lineage, and data-product ownership\nData quality, automated testing, observability, and alerting\nCI/CD, infrastructure automation, release controls, and operational practices\nIdentity, access management, privacy, retention, and auditability\nInterfaces for Power BI, SAS, applications, analytics, and future AI workloads\nSecurity, Governance & Compliance\nEmbed privacy, security, and compliance requirements into architecture and engineering practices.\nImplement appropriate access controls, segregation of duties, traceability, lineage, and audit evidence.\nSupport GDPR requirements and regulated use cases, including applicable GxP and 21 CFR Part 11 expectations.\nWork with Quality, Security, Legal, and business owners to translate controls into practical engineering solutions.\nDecision Authority\nThe Principal Data Engineer is empowered to make independent technical decisions concerning data architecture, platform design, technology selection, engineering standards, reliability controls, observability, CI/CD, release practices, performance, and cost optimization.\nFor material decisions, the role will document the context, constraints, alternatives considered, expected benefits, risks, trade-offs, cost implications, and recommended direction.\nTechnical Requirements\nEngineering Depth: Extensive experience designing, delivering, and operating production-grade data platforms, with strong hands-on expertise in data engineering and software engineering.\nModernization Experience: Proven experience modernizing data warehouses or building new data platforms and migration paths.\nData Engineering: Advanced SQL, strong data-modeling skills, and strong programming capability in at least one language used for production of data engineering.\nReliability Engineering: Practical experience with automated testing, data-quality controls, monitoring, alerting, incident diagnosis, and root-cause analysis.\nCloud & Delivery: Strong understanding of cloud data architecture, version control, CI/CD, infrastructure automation, and controlled deployment practices.\nArchitecture Judgment: Ability to evaluate vendor-specific and open technologies without being constrained by a predefined stack.\nLeadership & Communication: Ability to lead complex work through implementation, mentoring engineers, and communicate technical decisions to engineering, executive, and business audiences.\nPreferred Qualifications\nExperience with Snowflake architecture, engineering, performance optimization, and cost management.\nExperience with AWS, Azure, or multi-cloud environments.\nExperience enabling Power BI, SAS, or comparable self-service analytics platforms.\nExperience with data mesh, domain-oriented data products, or heterogeneous platform architectures.\nExperience in clinical research, healthcare, or another regulated industry.\nFamiliarity with GDPR, GxP, audit-trail requirements, or 21 CFR Part 11.\nExperience with Platform Engineering, Infrastructure as Code, or shared developer capabilities.\nExperience preparing reliable data foundations for machine learning or generative AI.\nFirst-Year Measures of Success\nComplete a documented assessment of the existing DWH, pipelines, platform risks, and modernization priorities.\nEstablish an agreed target architecture and roadmap, including a clear recommendation on Snowflake’s future role.\nImplement meaningful observability and automated quality controls for critical data flows.\nReduce the frequency and impact of pipeline failures and eliminate critical silent failures.\nDefine ownership and measurable reliability expectations for critical data products.\nIntroduce consistent engineering, testing, deployment, and documentation standards adopted by the team.\nImprove the team’s technical capability through hands-on delivery and practical mentoring.\nProvide reliable, governed data access for Product, Clinical Operations, Finance, and other functions.\nFuture Growth\nThe primary responsibility is Data Engineering. The role offers a credible path toward broader responsibility, either in management as Head of Data or in an expert technical track. Depending on organizational needs and demonstrated capability, the scope may later expand into Platform Engineering and AI enablement. These areas are potential directions, not guaranteed responsibilities at the start of the role.\nWhy Join Us?\nThis is an opportunity to shape the future of data engineering at Humaneva rather than maintaining an existing environment. You will have the autonomy to challenge the current architecture, choose appropriate technologies, and build dependable foundations for analytics, operations, and future AI capabilities.\nThe role combines deep hands-on engineering with organization-wide technical influence and a potential path toward Managersial roles and expertise in Platform engineering and AI.","description_format":"text","description_chars":7933,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-05T23:10:27Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.52,"p_room":0.45,"age_days":48,"expected_fill_days":30,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/humaneva-group-principal-data-engineer","json_url":"https://alion.io/job/humaneva-group-principal-data-engineer.json","meta":{"generated_at":"2026-10-13T19:18:08Z","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":29440,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":3902831},"rest":"https://alion.io/mcp/rest/get_company?id=3902831"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhumaneva-group-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%2Fhumaneva-group-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%2Fhumaneva-group-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/humaneva-group-principal-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhumaneva-group-principal-data-engineer"}]}