10 дней назад
Data Engineering Senior Manager (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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