Omnidian is looking for an experienced Data Engineering Manager to lead their Data Engineering efforts, own and enhance processes, and execute critical projects on their Data Engineering roadmap to revolutionize performance assurance for the distributed solar and energy storage industries.
Requirements
- Familiarity with distributed systems like Spark, Kafka and data lakes
- Experience working with time series data
- Understanding of challenges and best practices working with IoT data
- Experience with cloud platforms like AWS or Azure
- Understanding of data modeling principles
- Comfortable with object oriented programming languages such as Python
- Comfortable with SQL
Responsibilities
- Establish and continuously improve Data Engineering architecture, processes and standards
- Own successful outcome and positive impact for critical large scale data engineering projects including project management, resource management and communication
- Own team performance against established SLAs, including visibility into SLA adherence over time
- Establish and provide visibility for metrics that will identify bottlenecks or other improvement opportunities
- Establish, communicate and maintain a rolling 5 Quarter roadmap for Data Engineering
- Drive stakeholder alignment on roadmap and prioritization
- Hands-on experience designing, building and testing data pipelines
Other
- Lead, mentor and coach a team of six Data Engineering professionals, fostering a collaborative environment.
- Ensure team has measurable SMART goals (OKRs); hold yourself and team accountable for performance against these goals
- Mitigate risks and clear blockers
- Collaborate cross functionally to drive initiatives
- You possess strong leadership skills; you take satisfaction in supporting a team to achieve great things.
