{"id":3719458,"url":"https://alion.io/job/keyrus-senior-data-consultant-databrick","title":"Senior Data Consultant - Databrick","company":{"id":4416249,"name":"Keyrus","domain":"keyrus.consulting","url":"https://alion.io/company/keyrus-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-03T21:18:45Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T13:08:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Why Keyrus, Why Now!\nKeyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.\nFor more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.\nBuilding AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.\nAt Keyrus, you'll work closely with clients to develop, optimize, and support enterprise data and analytics solutions, combining Databricks, data engineering, and business intelligence capabilities to deliver reliable business insights.\nTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.\nRole details\nLocation: United States (Remote)\nContract: full-time\nWhat you'll architect\nAs a Senior Data Consultant, you'll support and enhance enterprise data and analytics environments, with a strong focus on Databricks engineering, data pipelines, and production support.\nYou'll develop and optimize data transformations, maintain reliable analytics pipelines, and troubleshoot complex issues across production environments, while contributing to reporting and business intelligence solutions, including Power BI.\nYour role requires technical autonomy, strong problem-solving skills, and the ability to deliver high-quality solutions under demanding client expectations while contributing to continuous improvement.\nYour responsibilities\nDevelop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks.\nSupport modern lakehouse and medallion architectures (Bronze, Silver, Gold), ensuring reliable processing of structured and semi-structured data.\nTroubleshoot data quality, pipeline performance, and production issues, ensuring consistency and reliability across analytics environments.\nPerform QA validation and gap analysis to identify discrepancies between business requirements and delivered data solutions.\nSupport the development, maintenance, and optimization of Power BI dashboards, reports, and data models when required.\nCollaborate with business stakeholders and technical teams to translate requirements into scalable data and analytics solutions.\nOwn technical deliverables end-to-end with minimal oversight, supporting enhancements, incident resolution, and continuous improvement.\nContribute to documentation, technical standards, and emerging AI-assisted workflows, including MCP server-based reporting and agentic data engineering practices.\nWho you are\nYou are an experienced Data Consultant with strong hands-on expertise in Databricks, SQL, and modern data engineering. You are comfortable working independently in demanding production environments, investigating complex technical issues, and delivering reliable analytics solutions. You bring strong analytical thinking, attention to detail, and a consulting mindset, with the flexibility to contribute to business intelligence and reporting initiatives.\nWhat you bring\nExperience\n5+ years of professional experience in data engineering, data consulting, or related data and analytics roles.\n3+ years of hands-on experience developing, maintaining, and optimizing Databricks pipelines and data transformations.\nProven experience working with modern lakehouse architectures, distributed data environments, and pipeline orchestration.\nExperience supporting production analytics environments, including QA validation, gap analysis, and incident resolution.\nExperience collaborating with business stakeholders and technical teams, with ownership of technical deliverables.\nExposure to business intelligence and reporting solutions, preferably Power BI.\nTechnical skills\nStrong Databricks development experience using PySpark, Python, SQL, and notebooks.\nAdvanced SQL skills, including data transformations, optimization, and troubleshooting.\nLakehouse and medallion architecture principles (Bronze, Silver, Gold).\nAzure DevOps, CI/CD practices, version control, and development workflows.\nExperience with distributed data environments, pipeline orchestration, and production data support.\nFamiliarity with reporting and data visualization tools, preferably Power BI.\nExposure to AI-assisted development and agentic data engineering workflows.\nNice to have\nHands-on Power BI development, including DAX, data modeling, and report performance optimization.\nExperience with MCP servers or similar orchestration frameworks.\nConsulting experience in demanding client environments.\nExperience supporting migrations, divestitures, or complex transformation initiatives.\nFamiliarity with SAP Datasphere.\nExperience contributing to AI-assisted or agentic data engineering practices.\nWhat makes you successful\nYou build and maintain reliable Databricks data solutions.\nYou troubleshoot complex production issues independently.\nYou communicate clearly and collaborate effectively with stakeholders.\nYou maintain high standards of data quality and delivery.\nWhat we offer at Keyrus\nA stimulating environment where you will be able to surpass yourself and discover new horizons.\nA strong culture of innovation and entrepreneurship.\nHealth insurance for you and your family members.\n401K plan.\nMonthly Wellness Allowance.\n4 weeks of paid vacation.\nLanguage courses (French & English).\nAccess to continuing education (in-house, conferences, events, courses, certifications, etc.).\nThe expected base compensation for this position ranges from $110,000 to $130,000 USD annually, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.\nAbout Keyrus\nAt Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.\nAs Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.\nPowered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:\nIntelligence Foundations\nHuman in Command governance\nPerformance Steering\nWith over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.\nAI does not transform businesses. 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