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Databricks Practice Lead - Sales, Technology, and Business Development

Private Advertiser

Brisbane, Queensland, Australia · Full Time

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Experience
10+ yrs
Salary
—
Openings
1
Posted
2 days ago
Work mode
In office
Resume
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Job description

Role Summary

The Databricks Data Engineering Practice Lead is tasked with overseeing and expanding the consulting services centered around the Databricks ecosystem. This role includes management of project execution, nurturing the development of the data engineering team, fostering client relationships, and growing the Databricks practice footprint within the organization.

Key Responsibilities

  • Develop and expand the Databricks practice leveraging passive sales and business development initiatives.
  • Lead and manage complex data engineering projects within the Databricks environment.
  • Establish and promote best practices in data engineering methodologies.
  • Mentor data engineering professionals, facilitating their growth and expertise.
  • Work closely with clients to analyze needs and design tailored data solutions.
  • Support business development and sales activities to enhance practice reach.
  • Keep abreast of the latest updates in Databricks platform features and broader industry advancements.
  • Ensure projects meet quality standards and are delivered within agreed timelines.

Professional Experience & Expertise

  • Between 10 to 20+ years of experience in IT lifecycle management focusing on program oversight, quality assurance, sales, and team leadership.
  • Demonstrated project management and solution architecture skills, with competence in analyzing, estimating, planning, and governing project outputs effectively.
  • Capable of extracting business value from complex, heterogeneous data sources.
  • Extensive interaction with senior business stakeholders across various functions to drive comprehensive financial and operational outcomes.

Core Strength Areas

  • Program and project management
  • Data architecture and warehousing
  • Data integration techniques including ETL and Enterprise Application Integration (EAI)
  • Data migrations and management of structured and unstructured datasets, including big data technologies
  • Ensuring data quality and comprehensive metadata management
  • Support roles in Master Data Management (MDM) and Business Intelligence/Analytics
  • Sales and marketing competencies relevant to technical consulting and business growth

Additional Attributes

An in-depth understanding of business domains such as sales, finance, supply chain, and operations is desirable to enhance solution relevance and client engagement effectiveness.

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