{"id":3511386,"url":"https://alion.io/job/campbell-global-lead-data-engineer-4","title":"Lead Data Engineer","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":95,"open_postings":150,"ghost_share":0.067,"stale_share":0.187,"repost_share":0.12,"time_to_fill_p50_days":13,"computed_at":"2026-11-01T06:10:25Z"}},"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":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":156000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"SRE","optional":true}],"status":"live","first_seen_at":"2026-10-23T13:44:04Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-02T03:06:38Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents are valued and celebrated. At JPMorganChase, you'll help create a brighter future and make a meaningful difference through impactful data engineering. You'll work with agile teams to deliver trusted solutions that power our business. We foster a culture of inclusion, opportunity, and respect. Your contributions will help shape the future of technology.\nAs a Lead Data Engineer in the Compute Infrastructure Platforms team, you will design, build, and maintain critical data pipelines and architectures. You will collaborate with agile teams to deliver secure, stable, and scalable data solutions that support the firm's business objectives. Your expertise will ensure high-quality data collection, storage, access, and analytics. You will help drive innovation and operational excellence. Together, we'll create solutions that make a difference.\nJob Responsibilities\nDesign and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs.\nDevelop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions.\nDrive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely on.\nImplement and manage database backup, recovery, and archiving strategies to ensure data availability and resilience.\nEvaluate and report on access control processes to determine the effectiveness of data asset security with minimal supervision.\nCollaborate with cross-functional teams to define data requirements and deliver solutions aligned with business objectives.\nIdentify opportunities to optimize data workflows and improve overall pipeline performance and efficiency.\nContribute to a team culture of diversity, opportunity, inclusion, and respect.\nRequired qualifications, capabilities, and skills\nFormal training or certification on data engineering concepts and advanced applied experience.\nHands-on experience developing and maintaining data pipelines using Python.\nProficiency with Databricks for large-scale data processing and analytics.\nExperience working with both relational and NoSQL databases.\nProficiency across the full data lifecycle, including ingestion, transformation, storage, and access.\nExperience implementing database backup, recovery, and archiving strategies.\nStrong understanding of data quality principles and experience driving root cause analysis for data issues.\nPreferred qualifications, capabilities, and skills\nExperience working with enterprise-level datasets in a large, complex organization.\nFamiliarity with cloud-based data platforms and modern data architecture patterns.\nExperience in site reliability engineering or infrastructure deployment 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