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10 дней назад

Data Engineering Senior Manager (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineering Senior Manager (Databricks): Building and governing scalable data pipelines, lakehouse architectures, and data products on Databricks and AWS with an accent on platform reliability, cost management, and cross-functional technical strategy. Focus on leading data engineering teams, designing resilient production platforms, and solving complex architecture, operational, and delivery challenges.

Location: Edinburgh, Scotland, United Kingdom

Company

hirify.global is a sports-tech entertainment company operating gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media brands as part of Flutter Entertainment.

What you will do

  • Lead the design, delivery, and continuous improvement of scalable data pipelines, lakehouse architectures, and data products on Databricks and AWS.
  • Manage up to 9 data engineers and 5 consultants, including hiring, onboarding, performance reviews, coaching, and career development.
  • Set technical strategy and platform governance in partnership with Data Architects, Product Managers, Analytics, and Engineering teams.
  • Own production health, SLAs, incident response, monitoring, alerting, reliability, and platform cost.
  • Plan and prioritize delivery across discovery, platform investment, and operational work while resolving architectural gaps and cross-team dependencies.

Requirements

  • 10+ years of experience in Data Engineering, Data Platform, or related data roles.
  • 3+ years of experience leading engineering teams, including coaching, performance management, and organizational development.
  • Strong experience building scalable data platforms and production-grade data pipelines with Python, Scala, or similar programming languages.
  • Experience with Databricks, Delta Lake, Snowflake, or BigQuery and cloud infrastructure such as AWS.
  • Experience leading complex cross-functional initiatives, architecture discussions, and engineering design reviews.
  • Experience with self-healing and resilient data systems, monitoring, and alerting using Monte Carlo, PagerDuty, and Datadog.

Culture & Benefits

  • High-trust environment focused on psychological safety, continuous learning, and inclusive teamwork.
  • Professional development resources, mentorship, and opportunities for career growth.
  • Insurance and paid leave policies.
  • Opportunities to build products used by sports and entertainment fans.
  • Equal employment opportunity and a commitment to a diverse and inclusive workforce.

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