- Company Name
- albelli
- Job Title
- Data Engineering Manager
- Job Description
-
**Job Title**
Data Engineering Manager
**Role Summary**
Lead and grow a cross‑functional data engineering team (5‑8 engineers) to design, build, and maintain a scalable, decentralized data platform. Partner with product, operations, finance, and marketing stakeholders to deliver trustworthy, business‑ready data services and support AI/ML initiatives. Drive continuous improvement in performance, cost efficiency, and delivery quality while fostering a culture of engineering best practices and innovation.
**Expectations**
- Build and manage a high‑performance data engineering squad.
- Own recruitment, coaching, and career development for team members.
- Collaborate with product managers to translate OKRs into actionable data initiatives and technical roadmaps.
- Influence architecture and standards across the technical organization.
- Champion data governance, quality, and architectural alignment with business needs.
**Key Responsibilities**
- Recruit, onboard, and retain top data engineering talent.
- Define project scope, milestones, and success metrics in partnership with product and business stakeholders.
- Oversee design decisions, code quality, and system reliability under the principal engineer’s guidance.
- Promote best practices in software development lifecycle, CI/CD, and infrastructure‑as‑code.
- Lead standardization efforts in people, process, and technology across the data domain.
- Drive continuous improvement of key metrics: business value, cost efficiency, speed, and delivery quality.
- Facilitate knowledge sharing, technical exploration, and innovative experimentation within the team.
- Manage cross‑functional communication and ensure actionable simplicity in complex technical discussions.
**Required Skills**
- Proven experience building and leading data/analytics engineering teams in enterprise environments.
- Expertise in building platforms-as-a-product with agile delivery.
- Strong technical foundation: Snowflake, AWS services (Kinesis, SNS, SQS, S3, ECS, Lambda), Python, DBT, Airflow, Terraform, CI/CD (GitHub Actions/Jenkins).
- Ability to make defensible technical decisions from data ingestion to consumption.
- Excellent communication, coaching, and stakeholder‑management skills.
- Familiarity with data governance, quality tools (e.g., Collate, Monte Carlo).
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, or a related STEM discipline.
- Relevant certifications (e.g., Snowflake Certified Data Engineer, AWS Certified Solutions Architect, Terraform Certified Associate) are a plus but not mandatory.