Manager, Data Engineering

Omnidian

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • Washington

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💰 $120,125 - $197,625 per year

Mid-LevelSenior

AWSAzureCloudDistributed SystemsIoTKafkaPythonSparkSQL

About the role

Lead, mentor and coach a team of six Data Engineering professionals; foster a collaborative environment.
Establish and continuously improve Data Engineering architecture, processes and standards.
Ensure team has measurable SMART goals (OKRs) and hold team accountable to performance.
Own successful outcome and positive impact for critical large scale data engineering projects, including project and resource management and communication.
Mitigate risks and clear blockers; provide visibility into progress to stakeholders.
Collaborate cross-functionally to drive initiatives and align priorities.
Own team performance against established SLAs and provide visibility into SLA adherence over time.
Establish and provide metrics to identify bottlenecks and improvement opportunities.
Establish, communicate and maintain a rolling 5-Quarter roadmap for Data Engineering; drive stakeholder alignment on roadmap and prioritization.
Report to the Director of Data Management and Information Security; sit within the Engineering department.

5+ years experience as a Data Engineer
3+ years experience as a people manager
Proficiency at successfully managing large scale data engineering projects
Experience with Agile project management
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
Strong leadership skills; ability to lead, mentor and coach a team
Project management expertise: break down ambiguous projects, set milestones, provide stakeholder visibility
Data architecture experience for structured and unstructured data
Excellent verbal and written communication skills; cross-functional coordination and consensus building
Strong analytical and problem-solving abilities