Job Description:
The Team Lead is responsible for leading and overseeing a team focused on data pipeline development and transformations, ensuring the successful execution of projects that align with the company's objectives. This role involves:
Collaborating with various internal departments and external stakeholders. Fostering a culture of innovation and continuous learning within the team. Participating in strategic decision-making. Managing resource allocation, risk mitigation, and performance evaluation. Promoting a positive working environment that encourages efficiency and collaboration. As responsibilities expand, involvement includes department-wide strategies, budget management, establishing OKRs, and driving strategic company goals.
Key Responsibilities:
Oversee the design, development, testing, deployment, and monitoring of data pipelines. Adapt to changing needs and urgent issues within a fast-paced engineering environment. Engage in strategic planning and decision-making with senior management and product management. Evolve team processes, policies, and metrics to improve efficiency and effectiveness. Set a high bar for code quality and operational maturity. Recruit, hire, mentor, and coach Data Engineers at various levels of experience. Develop plans for team members’ growth into long-term roles. Promote a positive work environment that encourages collaboration and efficiency. Provide frequent and appropriate feedback to team members to encourage future performance improvement.
Requirements:
Demonstrated ability to provide constructive feedback to team members. Experience in communicating with users, other technical teams, and management to collect requirements, identify tasks, provide estimates, and meet production deadlines. Knowledge of professional data engineering best practices for the full data pipeline development life cycle. Knowledge of investment data including accounting, performance, and risk. Ability to resolve conflict within and across teams and drive consensus to achieve common goals. Strong system design principles with practical application of highly available distributed data systems. Maintain a high-performance culture focused on operational and engineering excellence. Expertise in data pipeline tools and technologies, including:
- DBT (Data Build Tool)
- Snowflake
- AWS Cloud Platform / Tools
- Data pipeline development
- Monitoring and performance tuning
- JIRA, Bitbucket, Git Repos
Experience:
- 10+ years of experience in data engineering or related field.
- 3+ years of experience managing and growing teams.
- Experience working with investment data.
- Experience with professional services.
- Experience with Business Intelligence (BI) tools.
- Experience with Logical Data Models (LDMs).
Education:
- Undergraduate degree in CS, Engineering, Information Systems, Finance or related fields
If you are a strategic thinker with a passion for data pipeline development and leadership, we encourage you to apply for this exciting opportunity to drive innovation and excellence within our organization.
