Manager of Data Engineering, Omnidian

• Are you an experienced Data Engineering Manager? Are you enthusiastic about providing mentoring and coaching to a talented team of Data Engineers?
• Do you love setting up the right workload management processes and structures so that the team can focus on the technical vision and solving technical problems?
• 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
• 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

Desirable

• We are looking for an experienced Data Engineering Manager to drive our Data Engineering efforts
• You will support a strong technical team of data engineers focused on data acquisition and our data warehouse pipelines
• You will design and implement the team’s workflow strategy, ensuring transparent and smooth flow of work from intake through delivery
• You will work with data engineering technical leads to ensure a clear tie between company goals and strategies and team OKRs
• This role sits within our Engineering department and will report directly to our Director of Data Management and Information Security
• At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:
• Team Leadership and Development (25%)
• 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
• Workload Management and Delivery (60%)
• 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
• Roadmap, Strategy (15%)
• 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