In A Nutshell
Oversee the management, architecture, engineering, and maintenance of scalable and efficient data solutions leveraging primarily Microsoft technologies.
Responsibilities
- Build complex data solutions in Azure environment.
- Leads data strategies, policies, and procedures to cultivate a data driven culture and develop standards of operation for an enterprise data program.
- Align and engage with internal stakeholders to define business requirements to ensure operational quality, excellence, and success.
- Develop strong partnerships with other IT teams including Network Services, and Corporate Information Security teams to ensure the security, availability, accuracy, integrity, and reliability of our data and models.
- Engineers effective and secure data workflows; creates and maintains pipelines for data ingestion, processing, and transformation; optimizes storage.
- Collaborates with team members to ensure security, compliance, and permissions in data handling and archiving.
- Manages data integrations, performs extract, transform, and load (ETL) functions from various sources into data warehouses or data lakes.
- Builds conceptual, logical, and physical data models that streamline and support our enterprise data management program.
- Creates and maintains relevant data management documents, including semantic models, data dictionaries, master data management, etc.
- Provides leadership (management, mentoring, and training) for internal staff and oversees the work of external consultants.
- Actively engage in governance committees to influence data strategy, optimize system capabilities, and ensure information integrity.
- Ensures data quality and accuracy to support predictive analysis, visualizations, and reporting needs.
- Keeps abreast of technology changes and innovations in the data field.
- Performs other duties as assigned.
Skillset
- Bachelor’s degree in Data, Engineering, Computer Science or related field; or equivalent experience.
- Must have 10+ years of experience with:
- Azure, (Azure AI preferred), Fabric, Power BI, SQL. Including data solutions, Data Modeling, data management, architecture, and engineering.
- Experience in writing efficient, reusable, testable, and scalable code using PySpark.
- Must have experience in supervising, mentoring, and training staff.
- Organizational, quantitative, and analytical skills.
- Attention to detail, ability to prioritize, and work accurately under time constraints.
- Excellent communication and interpersonal skills.
- Ability to work in cross-functional teams, as well as operate with considerable independence and discretion.
- Ability to be agile, responsive, and flexible in managing multiple projects and priorities.
- Experience in developing and managing relationships with vendors.
- Committed to building and strengthening a culture of inclusion within and across teams.