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1 день назад

Data Solutions Manager (Databricks)

130 000 - 185 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Solutions Manager (Databricks): Leading the architecture, engineering, and delivery of trusted data and analytics capabilities across a modern lakehouse, enterprise data warehouse, and ERP transformation with an accent on Databricks, data governance, and SAP migration. Focus on building high-performing data engineering teams, migrating SAP and legacy ERP data to SAP S/4HANA, and maintaining platform reliability during multi-year transformation.

Location: Hybrid in Buffalo, NY; the role can be based in the US, UK, or Europe. Domestic and international travel may be required.

Base pay: USD 130,000–185,000 per year in Buffalo, NY, or an equivalent benchmark in Europe/UK.

Company

hirify.global develops and delivers technically complex industrial and aerospace solutions through a performance-focused organization.

What you will do

  • Lead the Industrial Group data solutions team and set direction for data architecture, engineering, and solution delivery.
  • Develop the target-state architecture across ingestion, bronze/silver/gold lakehouse modeling, semantic layers, and BI enablement.
  • Own the data solutions roadmap, current warehouse reliability, platform performance, incident response, change deployment, and business continuity.
  • Lead migration to hirify.global’s corporate Databricks environment and manage data cleansing, mapping, transformation, and reconciliation across SAP ECC and legacy ERP systems.
  • Establish standards for data quality, freshness, lineage, CI/CD, documentation, governance, and reusable engineering frameworks.
  • Hire, coach, and develop data engineers while advising business, finance, technology, governance, and senior leadership stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, a related field, or equivalent education and experience.
  • At least seven years of experience in data roles, including at least five years leading technical data teams in data engineering, warehousing, or platform delivery; experience must include hiring, coaching, performance management, and vendor oversight.
  • Experience defining data architecture, strategy, and engineering principles from both hands-on and leadership perspectives.
  • Strong enterprise data warehousing experience, including dimensional and semantic modeling, ETL, SQL performance tuning, and warehouse platforms such as SAP BW, Progress, Snowflake, Synapse, or similar.
  • Hands-on Databricks delivery experience, including Delta Lake, Databricks Workflows, Genie spaces, and Unity Catalog controls.
  • Strong command of SQL, Spark, Python, and modern ELT/orchestration tools, with an automation-first and reusable-framework mindset.
  • Familiarity with data contracts, producer-consumer accountability, schema evolution, data quality requirements, and platform governance controls.
  • Experience managing data migrations involving extraction, cleansing, mapping, loading, and reconciliation, preferably with SAP ECC and/or SAP S/4HANA.
  • Excellent communication and stakeholder-management skills across technology, business process, finance, and program teams, including senior leadership; ability to work with global, remote, and diverse teams.

Culture & Benefits

  • Full-time employment in a performance-oriented, collaborative, and inclusive culture.
  • Flexible paid time off, holidays, parental leave, and relocation assistance.
  • Medical, dental, vision, life, disability, EAP, Flexible Spending Accounts, and Health Savings Accounts.
  • Matching 401(k), bonus opportunities, and Employee Stock Purchase Plan at select locations.
  • Tuition assistance, mentorship, coaching, leadership development, and personal growth programs.
  • The position requires access to U.S. export-controlled information.

Hiring process

  • No unsolicited agency submittals; agency partners must be invited by the Talent Acquisition Team and have signed terms before submitting candidates.

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