Data Manager

About Egg Harbor Café

At Egg Harbor Café, we believe in nurturing talent and fostering growth in a supportive, optimistic environment. Our team values integrity, teamwork, character, and a passion for excellence. We are seeking a Data Manager to join our team, someone who thrives on solving complex problems, leveraging technology, and building innovative, robust data solutions.

Who You Are

You are a self-starter and problem solver with a passion for technology and data. You bring technical expertise and a collaborative mindset to drive business insights and decision-making. Key qualifications include:

• Technical Expertise:

  • Mid-level proficiency in SQL (3+ years).
  • Advanced-level proficiency in data modeling and data structures (3+ years).
  • Advanced experience with data engineering and pipeline automation, preferably with Azure Data Factory and Python (3+ years).
  • Proficiency in database and query optimization, ideally with Azure Synaspe or Azure SQL (3+ years).
  • Proficiency with generating API keys and using them via Python.

• Methodical Approach:

  • Experience as a disciplined Agile practitioner.
  • Strong organizational skills and attention to detail.

• Communication & Collaboration:

  • Excellent written and oral communication skills.
  • Ability to work independently and collaboratively in a team environment.
  • A knack for mentoring teammates and fostering a learning culture.

• Desirable Skills

  • DAX/SQL

  • Microsoft Fabric/BI

  • Power Automate

  • Azure Data Factory

  • Postman

  • SharePoint Administration

  • Working with Large Datasets

What You’ll Do

As a Data Manager, you’ll manage our company's data and ensure that data is accurate and up-to-date at all times.

Responsibilities include:

1. Data Modeling & Engineering:
   • Develop and model new datasets within a Microsoft Fabric platform.
   • Create efficient data pipelines to automate processes.
2. Collaboration & Business Support:
   • Work with internal stakeholders to understand their operational, regulatory, and reporting needs.
   • Define clear, well-structured business requirements for data assets.
3. Data Governance & Quality:
   • Build frameworks to ensure data quality, governance, and operational efficiency.
   • Curate and instrument data assets to meet high standards of usability and accuracy.
4. Mentorship & Culture:
   • Mentor teammates and contribute to a culture of collaboration and continuous improvement.
5. Operational Delivery:
   • Provide high-quality, reliable data to support key customer and operational processes.
6. Other IT duties as needed