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Manager, Data Engineering

3 weeks, 5 days ago
United States
Full-time
Senior
Technical Project Manager
Database Administration
Agile Apache Spark AWS Azure Databricks IoT Kafka Python Salesforce SQL
Apply Now
Omnidian

Omnidian

Omnidian ensures the performance and protection of residential and commercial solar systems with a cash-back guarantee and proactive monitoring.

Renewable Electricity
51-250
Founded 2015
$24M raised
View All Jobs 6

Description

  • Lead, mentor, and coach a team of six data engineering professionals.
  • Set and track SMART goals and OKRs for the team and connect them to company objectives.
  • Own workload management for the Data Engineering team, including intake, prioritization, resource allocation, and metrics.
  • Manage delivery for large-scale data engineering projects, including project management, communication, and resource coordination.
  • Mitigate risks, clear blockers, and keep work moving smoothly through execution.
  • Collaborate cross-functionally to drive initiatives and align stakeholders on priorities.
  • Own team performance against SLAs and provide visibility into SLA adherence and bottlenecks.
  • Work with technical data engineering leads to define and maintain the data engineering roadmap.
  • Identify roadmap dependencies and coordinate with stakeholders to ensure successful delivery.
  • Communicate team goals, accomplishments, and progress to stakeholders.

Requirements

  • 5+ years of experience as a Data Engineer.
  • 3+ years of experience as a people manager.
  • Experience successfully managing large-scale data engineering projects.
  • Hands-on experience building data pipelines in a structured deployment environment.
  • Experience with Agile project management.
  • Familiarity with distributed systems such as Spark, Kafka, and data lakes.
  • Experience with cloud platforms such as AWS or Azure.
  • Understanding of data modeling principles.
  • Hands-on experience designing, building, and testing data pipelines.
  • Familiarity with data architecture and patterns for structured and unstructured data.
  • Strong verbal and written communication skills for both technical and non-technical audiences.
  • Experience with time series data is preferred.
  • Renewable energy industry experience is preferred.
  • Experience with Databricks is preferred.
  • Experience with RDS is preferred.
  • Understanding of IoT data challenges and best practices is preferred.
  • Direct experience working with IoT data pipelines is preferred.
  • Experience creating a medallion-structured data warehouse is preferred.
  • Knowledge of data governance and security is preferred.
  • Experience with Salesforce is preferred.
  • Comfort with object-oriented programming languages such as Python is preferred.
  • Comfort with SQL is preferred.
  • Unable to provide sponsorship for this role, now or in the future.

Benefits

  • Competitive total compensation of $124,000 - $155,000 base salary.
  • 100% employer-paid monthly health insurance premiums for employees and 50% coverage for dependents.
  • Performance bonuses based on contributions and results.
  • Long-term stock options/equity stake.
  • 401(k) administration with a $1,000 annual match.
  • Thoughtful paid time off.
  • 12 weeks of paid parental leave after 1 year for all FTE employees.
  • Four-week paid sabbatical after four years.
  • Up to $500 in annual learning reimbursement for courses, certifications, or conferences.

Interested in this position?

Apply directly on the company website

Apply Now

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