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EXL
EXL
Kvalificēta darbinieka vīzas sponsorsApdrošināšanaLoģistikaVeselības aprūpe
EXL ir biznesa konsultāciju un pakalpojumu uzņēmums, kas palīdz organizācijām izmantot datus, analītiku un tehnoloģijas, lai uzlabotu darbību un pieņemtu labākus lēmumus. Uzņēmuma darbība ietver operāciju pārvaldību, lēmumu analītiku un digitālo transformāciju, kā arī pieredzi darbā ar klientiem veselības aprūpes, apdrošināšanas, finanšu un loģistikas nozarēs. EXL apvieno datu zinātni ar praktisku uzņēmējdarbības kompetenci, lai izstrādātu risinājumus, kas pielāgoti katras organizācijas mērķiem, darbības modelim un nozares kontekstam.
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Vakances uzņēmumā

Senior Data Engineering Lead, Marketing Data – EXL

Lead the architecture and delivery of EXL’s marketing data platform. Guide Azure and Databricks work, Customer 360 and MDM capabilities, and data engineering teams.

USAmerikas Savienotās ValstisNJŅūdžersijaNYŅujorkaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AzureMākonisRDBMSSQL

Apraksts

  • Own delivery of marketing data platform, integration, reporting, and architecture initiatives from intake through production launch.
  • Work with business stakeholders to clarify needs, set scope and priorities, and turn objectives into delivery plans.
  • Coordinate risks, dependencies, decisions, timelines, and tradeoffs across business, development, architecture, infrastructure, and operations teams.
  • Maintain project plans, RAID and decision logs, requirements, release plans, and production handoff materials.
  • Lead sprint planning, backlog refinement, delivery ceremonies, technical reviews, and issue-resolution discussions.
  • Ensure solutions are scalable, secure, supportable, documented, and consistent with enterprise data governance standards.
  • Guide cloud data platforms, data modeling, pipelines, integrations, and downstream reporting or activation use cases.
  • Oversee the organization’s data engineering solutions.
  • Lead major initiatives and keep them aligned with organizational goals.
  • Advise executive stakeholders.
  • Mentor team members and lead design reviews.

Prasības

  • 10–15 years of experience in data engineering, data modeling, and architecture.
  • Strong expertise in Azure and Databricks.
  • Experience with marketing data concepts, including accounts, customers, prospects, leads, opportunities, engagement, and consent.
  • Strong understanding of Customer 360 and MDM concepts, including integrations across multiple systems.
  • Experience leading and managing teams of at least 5–8 data engineers, architects, and technical specialists.
  • Experience with SQL/RDBMS, Git, integration patterns, data modeling, Copilot, Claude, and GitHub Copilot.
  • Knowledge of data quality, controls, lineage, documentation, data privacy, and security.
  • Graduate degree in computer science, data science, or a related field.
  • Strong communication and problem-solving skills.
  • Positive attitude.
  • Immediate availability is preferred; the listing specifies a date of joining.

Priekšrocības

  • Hybrid work arrangement.

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