Tech Lead Data - Databricks

CI&TData engineering

Workplace type: Remote; Listing location: BrazilFull-TimeLead

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Bring strong Data Engineering project experience and experience as a Tech Lead or Senior technical and operational team lead.
Have strong hands-on Databricks experience with PySpark and Spark SQL.
Have experience with batch pipelines and working knowledge of streaming when needed.
Demonstrate mastery of Delta Lake and practical application of Bronze/Silver/Gold Medallion architecture.
Have Azure data experience, including Azure Databricks, Azure Data Lake Storage, and integration with security and identity services such as Azure Active Directory.
Have strong SQL and Python skills, plus fundamentals in dimensional and consumption modeling and schema or contract best practices.
Have experience with DataOps, including Git, CI/CD for data pipelines, automated testing, and documentation.
Be able to review design and code, resolve performance and scale issues, and guide teams.
Have advanced English for stakeholder work and technical documentation.

Provide technical leadership to Data Engineering squads, supporting design, reviews, and decision-making.
Co-define the technical vision, coding standards, modeling conventions, and Lakehouse best practices with the Data Architect.
Design and oversee Databricks pipelines across Bronze, Silver, and Gold layers.
Implement and reinforce version control, CI/CD, testing, and documentation practices.
Optimize jobs and pipelines for partitioning, Spark performance, cost, and reliability.
Ensure security, access control, and data policies in Azure and Databricks align with governance.
Collaborate with business and analytics stakeholders to translate requirements into scalable solutions and delivery plans.
Mentor engineers and create templates, playbooks, and other technical references.

View Full Description & ApplyYou'll be redirected to the employer's site