Manager, Data Engineering

Omnidian

21h • Remote

About The Position

Omnidian, Inc. is a fast-growing Series C tech-enabled service company that is revolutionizing performance assurance for the distributed solar and energy storage industries. The company is dedicated to building a more sustainable future through its teams, innovative technology, and customer experience, and is headquartered in Seattle, WA. This role is for an experienced Data Engineering Manager to lead the company's Data Engineering efforts. The manager will support a technical team of data engineers focused on data acquisition and data warehouse pipelines. Key responsibilities include designing and implementing the team's workflow strategy to ensure transparent and smooth work from intake through delivery, and collaborating with data engineering technical leads to align team OKRs with company goals and strategies. This position is part of the Engineering department and reports directly to the Director of Data Management and Information Security.

Requirements

• Strong leadership skills; able to support a team to achieve great things and keep them focused on the most important things.
• Skilled at breaking down large, sometimes ambiguous projects into milestones, keeping the team on track, and providing visibility into progress to stakeholders.
• Hands-on experience designing, building and testing data pipelines.
• Familiarity with Data Engineering best practices, processes and standards.
• Comfortable with data architecture and patterns for both structured and unstructured data.
• Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
• Excel at cross functional coordination and able to build consensus.
• Good listener and enthusiastic to learn from others.
• Understand business needs, users, technology, and data, and collaborate with stakeholders to design and deliver data solutions that provide business value.
• Demonstrate strong analytical and problem-solving abilities, with a proactive approach to identifying issues and implementing effective solutions.
• 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.

Nice To Haves

• 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.

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.

Benefits

• Outstanding benefits including family medical, dental, vision, disability.
• 401(k) administration and $1k match per year.
• Thoughtful paid time off.
• 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year.
• Four-week paid sabbatical leave after four years.
• Competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee.
• We cover 100% of health insurance monthly premiums for employees and 50% for your dependents.
• You’ll be eligible for bonuses that reflect your contributions to our collective success.
• We offer stock options so you can share in the long-term value you help create.
• We provide up to $500 in annual learning reimbursement for courses, certifications, or conferences.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed