{"id":156751,"url":"https://alion.io/job/dxc-technology-data-engineering-lead","title":"Data Engineering Lead","company":{"id":88,"name":"DXC Technology","domain":"dxc.com","url":"https://alion.io/company/dxc-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":200,"ghost_share":0.005,"stale_share":0.855,"repost_share":0.03,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charleston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":209000,"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":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-17T00:00:00Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-11-09T06:09:06Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":114},"description":"Job Description:\nDXC Technology is a leading global technology services provider helping the world's largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions.\nOur Insurance Software and Business Process Solutions (ISB) organization partners with insurers worldwide to transform and manage core insurance operations. By combining deep insurance expertise, market-leading software platforms, and AI-powered solutions, we help clients modernize policy administration, claims, billing, underwriting, and digital engagement across Life & Annuity, Property & Casualty, and Specialty Insurance.\nPosition Summary\nThe Data Engineering Lead is responsible for the design, development, governance, and operational excellence of enterprise data platforms, pipelines, and analytics capabilities. This role provides technical leadership for data engineering initiatives while managing a team of engineers responsible for delivering scalable, secure, and reliable data solutions that support business intelligence, AI, machine learning, operational reporting, and digital transformation programs.\nThe successful candidate combines deep technical expertise with leadership skills to establish enterprise data standards, drive modernization initiatives, implement cloud-native data architectures, and ensure data is treated as a strategic business asset. This individual will partner closely with product management, application engineering, cloud operations, architecture, security, and business leaders to deliver measurable business outcomes.\nKey Responsibilities\nData Strategy & Architecture\nDefine and drive the enterprise data engineering strategy and roadmap.\nDesign scalable data architectures supporting operational, analytical, and AI workloads.\nEstablish standards for data modeling, data integration, metadata management, and data lifecycle management.\nLead modernization efforts from legacy data environments to cloud-native data platforms.\nEnsure alignment with enterprise architecture, cybersecurity, and compliance requirements.\nData Platform Engineering\nLead the design and implementation of enterprise data platforms utilizing cloud technologies and modern data architectures.\nDevelop and maintain high-volume batch, streaming, and event-driven data pipelines.\nBuild and manage data lakes, data warehouses, lakehouse architectures, and data products.\nEstablish reusable frameworks and accelerators that improve engineering velocity and solution consistency.\nDrive platform automation through Infrastructure-as-Code and DataOps practices.\nLeadership & Team Development\nLead and mentor a team of Data Engineers, Data Architects, and Data Integration specialists.\nEstablish engineering best practices and technical standards.\nProvide technical oversight, architecture reviews, and design guidance across projects.\nFoster a culture of innovation, accountability, continuous learning, and operational excellence.\nSupport recruitment, onboarding, career development, and performance management activities.\nData Governance & Quality\nImplement enterprise data governance practices.\nEstablish data quality frameworks, monitoring, observability, and remediation processes.\nPartner with data stewards and business stakeholders to improve trust in enterprise data assets.\nEnsure compliance with regulatory, privacy, retention, and security requirements.\nDefine and monitor KPIs related to data quality, availability, and reliability.\nAI & Advanced Analytics Enablement\nBuild and optimize data environments that support AI, machine learning, and advanced analytics initiatives.\nCollaborate with data scientists and AI teams to operationalize models and data products.\nSupport enterprise AI initiatives through governed, trusted, high-quality data pipelines.\nEstablish patterns for feature engineering, model data preparation, and data consumption.\nDelivery & Execution\nManage delivery of multiple concurrent data engineering initiatives.\nCreate project plans, estimates, resource forecasts, and delivery commitments.\nDrive agile delivery practices while maintaining governance and quality expectations.\nIdentify risks, dependencies, technical debt, and remediation plans.\nEnsure predictable delivery, operational stability, and stakeholder satisfaction.\nStakeholder Engagement\nWork closely with executive leadership to align data investments with business objectives.\nPartner with engineering, product management, operations, and business teams to prioritize initiatives.\nPresent technical recommendations, investment strategies, and progress updates to leadership audiences.\nAct as a trusted advisor for enterprise data strategy and modernization initiatives.\nRequired Qualifications\nEducation\nBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.\nMaster's degree preferred.\nExperience\n10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.\n3+ years leading technical teams or enterprise-scale data initiatives.\nDemonstrated experience designing and delivering enterprise data platforms.\nExperience leading cross-functional teams in global delivery environments.\nTechnical Expertise\nStrong experience in multiple areas including:\nSQL and advanced database technologies\nPython, Spark, Scala, or similar data engineering technologies\nETL and ELT frameworks\nData Lakes, Lakehouse, and Data Warehouse architectures\nCloud platforms (Azure, AWS, or Google Cloud)\nDatabricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies\nReal-time data processing and streaming architectures\nAPI-based integration and event-driven architectures\nCI/CD, DataOps, Infrastructure-as-Code, and automation practices\nPreferred Qualifications\nInsurance industry experience.\nExperience supporting AI, Machine Learning, and Generative AI initiatives.\nExperience implementing enterprise data governance programs.\nSuccess leading large-scale cloud migration or data modernization programs.\nExperience with observability, operational monitoring, and reliability engineering.\nLeadership Competencies\nStrategic Thinking\nTechnical Leadership\nDecision Making\nStakeholder Management\nTalent Development\nExecutive Communication\nContinuous Improvement Mindset\nCustomer Focus\nResults Orientation\nCross-Functional Collaboration\nAt DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.\nIf you are an applicant from the United States, Guam, or Puerto Rico\nDXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below.\nWe participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for theFederal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.\nPostings Link\nDisability Accommodations\nIf you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us viaemail.\nPlease note: DXC will respond only to requests for accommodations due to a disability.\nRecruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.","description_format":"text","description_chars":8703,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-07-17T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 61 · green card filings: 13","filings_12m":61,"filings_prev_12m":48,"green_card_filings_12m":13,"median_offered_wage_usd":129527,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.347,"p_room":0.28,"age_days":115,"expected_fill_days":29,"reasons":["conf:10","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/dxc-technology-data-engineering-lead","json_url":"https://alion.io/job/dxc-technology-data-engineering-lead.json","meta":{"generated_at":"2026-11-09T06:11:18Z","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":2049,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":88},"rest":"https://alion.io/mcp/rest/get_company?id=88"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdxc-technology-data-engineering-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fdxc-technology-data-engineering-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fdxc-technology-data-engineering-lead"},{"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/dxc-technology-data-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdxc-technology-data-engineering-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":156751}},{"tool":"search_jobs","arguments":{"company":"dxc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":156751},"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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