Sr Data Engineer

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 level 

• Excellent 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 strategically 

• Ability to adapt to changing conditions and lead others through change 

• Leadership and mentoring skills 

• Demonstrate emotional maturity and a positive outlook 

• Demonstrated analytical, organizational, prioritization, and time management skills 

• Ability and willingness to travel to remote offices and partners, including international travel up to 4 weeks per year 

Required 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 skills
• Familiarity with Sigma Computing or similar dashboarding tools 

• Strong analytical and problem-solving skills, with the ability to analyze complex data issues, identify root causes, and develop innovative solutions

• Strong 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