General Summary :
The Supervisor, Software Engineering, is responsible for the day-to-day management of the data lake operations team. The ideal candidate will oversee daily operations, ensure efficient data management practices, and facilitate cross-functional collaboration to optimize data accessibility and utilization.
Key Responsibilities
- Lead and supervise a team responsible for responding to data anomalies, alerts and incoming requests from data lake users
- Oversee a JIRA ticketing queue, managing assignments and monitoring performance.
- Build dashboards to monitor data flows and identify issues
- Develop and implement ops policies and procedures to maintain data reliability and quality.
- Establish KPIs and regularly monitor performance metrics; provide reports and insights to management.
- Lead the response to operational incidents, ensuring timely resolution and minimal impact on business operations.
- Collaborate with cross-functional teams, including data management, data governance, engineering, and business stakeholders, to support data-driven initiatives and resolve operational issues.
- Provide guidance, training, and mentorship to team members, fostering a culture of accountability, collaboration, and excellence in operations practices.
- Ensure adherence to data governance policies and regulatory requirements related to data handling and storage.
Key COMPETENCIES
Data analyst background, including ability to understand table structures, data pipelines, data architecture and implementation at code levelExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, stakeholders, and business users to define requirements and resolve data issues.Ability to think strategicallyAbility to adapt to changing conditions and lead others through changeLeadership and mentoring skillsDemonstrate emotional maturity and a positive outlookDemonstrated analytical, organizational, prioritization, and time management skillsAbility and willingness to travel to remote offices and partners, including international travel up to 4 weeks per yearRequired education, certifications, and experience
Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field; relevant certifications are a plus.5+ years of experience in operations management, with at least 2 years in a supervisory role within data management or a related field.Strong SQL skillsFamiliarity with Sigma Computing or similar dashboarding toolsStrong analytical and problem-solving skills, with the ability to analyze complex data issues, identify root causes, and develop innovative solutionsStrong understanding of data lakes, cloud storage solutions, and data processing tools (e.g., AWS, Azure, Hadoop).Strong verbal and written communication skills; ability to convey technical concepts to non-technical stakeholders.Experience working with an international development team (e.g., internal remote offices or outsourcing partners)Preferred qualifications
Experience with the Snowflake data platform.Familiarity with data governance frameworks and data quality best practices.Experience with automation via Python scripting