Manager, Data Engineering

Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. They are seeking an experienced Data Engineering Manager to drive their Data Engineering efforts, lead a team of data engineers, and establish a clear workflow strategy aligned with company goals. The role involves team leadership, workload management, and strategic roadmap development for data engineering initiatives.

Responsibilities:

• Lead, mentor and coach a team of six Data Engineering professionals, fostering a collaborative environment
• Ensure team has measurable SMART goals (OKRs) and understands how these goals impact our company goals and strategies; hold yourself and team accountable for performance against these goals
• Own workload management for the Data Engineering team, including intake, prioritization, resource allocation, and metrics
• Own successful outcome and positive impact for critical large scale data engineering projects including project management, resource management and communication
• Mitigate risks and clear blockers
• Collaborate cross functionally to drive initiatives
• 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
• Own proactive communication of the team’s goals and accomplishments
• Work closely with technical data engineering leads to establish a data engineering roadmap
• Drive stakeholder alignment on roadmap and prioritization
• Identify dependencies for successful completion of roadmap, coordinate with stakeholders to ensure dependencies are reflected on appropriate roadmaps
• Tie company objectives back to team roadmap

Requirements:

• 5+ years experience as a Data Engineer
• 3+ years experience as a people manager
• Proficiency at successfully managing large scale data engineering projects
• Hands on experience building data pipelines within a structured deployment environment
• Experience with Agile project management
• Familiarity with distributed systems like Spark, Kafka and data lakes
• Experience with cloud platforms like AWS or Azure
• Understanding of data modeling principles
• Leadership Abilities: You possess strong leadership skills; you take satisfaction in supporting a team to achieve great things. You are able to keep a team focused on the most important things
• Project Management Expertise: You are skilled at breaking down large, sometimes ambiguous projects into milestones, keeping the team on track, and providing visibility into progress to stakeholders
• Data Engineering Expertise: You have hands-on experience designing, building and testing data pipelines. You are familiar with Data Engineering best practices, processes and standards
• Data Architecture Experience: You are comfortable with data architecture and patterns for both structured and unstructured data
• Communication: You have excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. You excel at cross functional coordination and are able to build consensus. You would describe yourself as a good listener and are enthusiastic to learn from others
• Value Creation: You understand business needs, users, technology, and data, and collaborate with stakeholders to design and deliver data solutions that provide business value
• Problem-Solving: You demonstrate strong analytical and problem-solving abilities, with a proactive approach to identifying issues and implementing effective solutions
• Experience working with time series data
• Renewable Energy Industry experience
• Experience with Databricks
• Experience with RDS
• Understanding of challenges and best practices working with IoT data
• Experience directly working with IoT Data Pipelines
• Experience creating a medallion structure data warehouse
• Knowledge of Data Governance and Security
• Experience with Salesforce
• Comfortable with object oriented programming languages such as Python
• Comfortable with SQL