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Data Engineering Manager
2 weeks ago
We are seeking a seasoned Data Engineering Manager to lead our data platform solutions.
This role combines technical expertise, leadership, and client-facing skills. You will oversee projects spanning cloud data platforms, ELT pipelines, and BI/visualization tools such as Databricks, Azure Synapse, Microsoft Fabric, Snowflake, Power BI, and Tableau.
- Lead and mentor a team of data engineers across multiple client engagements.
- Owning end-to-end delivery of cloud data solutions: ingestion ? modeling ? visualization.
- Architect and implement platforms using Databricks, Synapse, Fabric, and Snowflake.
- Build scalable, reliable pipelines and warehouse structures.
- Collaborate with project managers, analysts, and stakeholders to align technical and business goals.
- Ensure best practices in CI/CD, version control, testing, monitoring, and documentation.
- Support pre-sales with solution design, estimation, and technical proposals.
- Foster a culture of technical excellence, innovation, and continuous learning.
- 12+ years in data engineering or related fields, including 34 years in leadership/management.
- Proven track record delivering enterprise-grade data platform solutions.
- Hands-on expertise in at least two: Databricks, Azure Synapse, Microsoft Fabric, Snowflake.
- Strong programming skills in SQL, Python, or Scala.
- Expertise in ELT/ETL patterns, data modeling (dimensional & data vault), and cloud storage (ADLS, S3).
- Experience with BI/visualization tools: Power BI, Tableau, Looker, Qlik, Sigma.
- Cloud experience in Azure, AWS, or GCP.
- Excellent communication and client-facing skills.
