- Develop conceptual, logical, and physical data models that support data analysis and reporting.
- Ensure data models are optimized for performance and scalability across various platforms and technologies.
- Establish and enforce data modeling standards, best practices, and methodologies.
- Manage the lifecycle of data models, including maintenance, updates, and documentation.
- Assist in data integration, data quality, and data governance initiatives.
- Provide technical leadership and mentorship to junior data modeling staff.
- Develop and maintain PowerBI dashboards showcasing model performance metrics to inform strategic decisions.
- Utilize Airflow for effective model orchestration, ensuring seamless data workflows and processes.
- Develop and implement a robust GitHub branching strategy to enhance collaboration and efficiency.
- Employ Python or similar programming languages to develop AI and machine learning models, contributing to the advancement of our analytics capabilities.
- Foster an agile data science work environment, promoting rapid iteration, collaboration, and continuous improvement.
- Lead exploratory data analysis efforts to uncover new insights and opportunities for data-driven decision-making.
- US Citizenship.
- Active IRS clearance - Public Trust or higher.
- Bachelor's degree preferred or equivalent experience.
- 9+ years of hands-on experience in data modeling, analytics solution delivery, and dashboard development.
- Proficiency in PowerBI, Airflow, Erwin, GitLab, and Python.
- Proficiency in Erwin or similar technologies.
- Strong understanding of GitHub branching strategies and version control best practices.
- Experience in Agile methodologies and an agile data science work environment.
- Demonstrated ability in analytics and exploratory data analysis.
- Proven track record of delivering efficient and scalable data pipelines.
- Excellent communication and leadership skills.
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Data Engineering Lead - Alexandria, United States - LIGHTFEATHER IO LLC
Description
LightFeather is currently seeking a talented Data Engineering Lead to spearhead our data modeling initiatives. The successful candidate will be at the forefront of designing, building, and implementing comprehensive data models that drive actionable insights. You will lead a team dedicated to developing advanced analytics solutions, leveraging tools like PowerBI for dashboarding, Airflow for orchestration, and Erwin for data modeling. Your expertise in GitLab, Python, and Agile methodologies will be crucial in delivering high-quality, scalable data pipelines and analytics solutions.
This Position is Full Time, Remote.
Responsibilities:
Minimum Requirements:
Why Join LightFeather?
You'll be part of a team dedicated to meaningful impact, working on solutions that address mission-critical needs. Experience variety, fulfillment, and the opportunity to work with some of the best in the industry. We are committed to fostering a diverse and inclusive environment where everyone is valued and respected.
Commitment to Diversity
LightFeather is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.