What are the responsibilities and job description for the Data Manager position at Egg Harbor Cafe?
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:
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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:
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Data Modeling & Engineering:
- Develop and model new datasets within a Microsoft Fabric platform.
- Create efficient data pipelines to automate processes.
- Collaboration & Business Support:
- Work with internal stakeholders to understand their operational, regulatory, and reporting needs.
- Define clear, well-structured business requirements for data assets.
- 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.
- Mentorship & Culture:
- Mentor teammates and contribute to a culture of collaboration and continuous improvement.
- Operational Delivery:
- Provide high-quality, reliable data to support key customer and operational processes.
- Other IT duties as needed