{"id":3524934,"url":"https://alion.io/job/campbell-global-principal-software-engineer-databricks-2","title":"Principal Software Engineer - Databricks","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":94,"open_postings":113,"ghost_share":0.08,"stale_share":0.177,"repost_share":0.142,"time_to_fill_p50_days":14,"computed_at":"2026-10-30T05:48:23Z"}},"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":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":117000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-26T21:50:07Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T00:33:50Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.\nThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.\nAs a Principal Software Engineer at JPMorganChase within the Chief Data Analytics Office - AIML Data Platforms Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.\nJob responsibilities\nCreates complex and scalable coding frameworks using appropriate software design frameworks \nDevelops secure and high-quality production code, and reviews and debugs code written by others \nArchitects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. \nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. \nAdvises cross-functional teams on technological matters within domain of expertise \nServes as the function’s go-to subject matter expert \nContributes to the development of technical methods in specialized fields in line with the latest product development methodologies \nCreates durable, reusable software frameworks that are leveraged across teams and functions \nInfluences leaders and senior stakeholders across business, product, and technology teams \nArchitects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.\nRequired qualifications, capabilities, and skills\n10+ years of experience (or equivalent expertise) leading technology organizations and delivering complex, enterprise-scale programs. \nProficient in Python and SDLC processes around it at an enterprise grade. \nProficient in AWS Infrastructure provisioning using Terraform and Hands-on experience in AWS resources focusing on Network boundaries, Resource and IAM policies, cross account / region access patterns and Compute at Scale. \nExecutive-level stakeholder leadership: demonstrated ability to influence and align senior leaders across business, product, and technology organizations. \nDeep expertise in Databricks in large enterprises, including architecture, performance tuning, cost management, security patterns, and operational excellence. \nAbility to manage multiple portfolios and competing priorities, establishing clarity, execution discipline, and transparent decision-making. \nDemonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. \nStrong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. \nDemonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.\nStrong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.\nPreferred qualifications, capabilities, and skills\nStrong understanding of global data governance, privacy, and regulatory requirements, with the ability to translate them into pragmatic technical architecture decisions and engineering requirements. Strong understanding of modern data platform architectures (data lakes, data warehouses, lakehouse) and distributed computing frameworks. \nProven experience with enterprise metadata, catalog, and lineage platforms, plus practical expertise with data contracts and schema governance.","description_format":"text","description_chars":5858,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Forest Resources","Asset Management & Funds","Land & Agriculture Property"],"lifecycle":[{"event":"open","at":"2026-10-30T13:42:23Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":14,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-31T01:13:13Z"},"pay":null,"html_url":"https://alion.io/job/campbell-global-principal-software-engineer-databricks-2","json_url":"https://alion.io/job/campbell-global-principal-software-engineer-databricks-2.json","meta":{"generated_at":"2026-10-31T01:13:13Z","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":1696,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":2649833},"rest":"https://alion.io/mcp/rest/get_company?id=2649833"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcampbell-global-principal-software-engineer-databricks-2"},{"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%2Fcampbell-global-principal-software-engineer-databricks-2"},{"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%2Fcampbell-global-principal-software-engineer-databricks-2"},{"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/campbell-global-principal-software-engineer-databricks-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcampbell-global-principal-software-engineer-databricks-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3524934}},{"tool":"search_jobs","arguments":{"company":"campbellglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3524934},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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