- Company Name
- Jobber
- Job Title
- Manager, Data Engineering - 14 Month Contract
- Job Description
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**Job Title**
Manager, Data Engineering (14‑Month Contract)
**Role Summary**
Lead and grow a high‑performance data engineering team, design and scale scalable data infrastructure, and collaborate across engineering, analytics, and product. Own strategy, roadmap, and delivery of resilient, observable, and governed data systems while driving innovation with AI tools.
**Expectations**
- Deliver world‑class data pipelines and infrastructure.
- Mentor, coach, and develop team members.
- Drive hiring, onboarding, and performance management.
- Ensure data quality, security, and compliance.
- Participate in quarterly on‑call rotation and incident response.
**Key Responsibilities**
- Recruit, onboard, mentor, and conduct performance reviews for data engineers.
- Define architectural standards, data storage, compute, and orchestration strategies.
- Build, maintain, and optimize ETL/ELT pipelines and data workflows.
- Implement monitoring, alerting, and incident response procedures.
- Collaborate with analytics, product, and engineering teams to deliver data products and tooling.
- Promote and integrate AI/automation to accelerate data processes.
- Plan and prioritize quarterly roadmaps in partnership with the Technical Program Manager.
**Required Skills**
- Proven leadership in a data engineering environment.
- Deep knowledge of data pipelines, ETL, data warehousing/lakehouse concepts.
- Experience with orchestration tools (Airflow, Prefect, dbt, etc.).
- Expertise in cloud data platforms (AWS, GCP, Azure) and modern data services (Snowflake, BigQuery, Redshift, Databricks).
- Strong SQL and database performance tuning skills.
- Familiarity with observability, monitoring, and incident management.
- Understanding of data governance, security best practices, and compliance requirements (GDPR, SOC, etc.).
- Ability to mentor and conduct effective one‑on‑one meetings.
- Excellent communication and stakeholder collaboration skills.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field, or equivalent professional experience.
- 5+ years of data engineering experience, 2+ years in a managerial or leadership role.
- Professional certifications such as Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty, or similar are desirable.