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Manager – Data Engineering; Databricks | Cloud | Leadership

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Employvision Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Cloud Computing, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Manager – Data Engineering (Databricks | Cloud | Leadership)

We are hiring an experienced Data Engineering Manager to lead the design and delivery of scalable, cloud-based analytics solutions with a strong focus on Databricks
. This is a leadership role combining technical expertise, team management, and client engagement to build high-impact data platforms that drive real business value.

What You’ll Do
  • Lead the design and development of scalable cloud data engineering solutions using Databricks
  • Architect and manage complex data pipelines, data lakes, and analytics platforms
  • Translate business requirements into effective technical and data solutions
  • Manage and mentor a team of data engineers while driving delivery excellence
  • Partner with clients and stakeholders to deliver impactful analytics solutions
  • Ensure strong data quality, governance, and security practices
  • Oversee end-to-end pipeline development: ingestion, transformation, and storage
  • Stay current with emerging technologies in cloud and data engineering
  • Strong experience with Databricks and Spark
  • Expertise in cloud platforms (AWS, Azure, or GCP)
  • Hands‑on experience building scalable data architecture and pipelines
  • Strong programming skills in Python, Scala, or SQL
  • Experience leading teams and managing technical delivery
  • Strong communication and stakeholder management skills
  • Solid understanding of data governance, security, and best practices
  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
  • 4–6+ years of experience in data engineering, cloud analytics, or big data platforms
  • Experience managing projects, teams, and client engagements
Nice to Have
  • Exposure to advanced analytics / machine learning
  • Experience with data governance and compliance
  • Knowledge of modern cloud data ecosystems and tools
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