Lead Data Engineer (Databricks)
KANINI
Job Description
Title : Lead Data Engineer (Databricks)
Location: Remote, US
Type: Contract/Contract to hire
POSITION SUMMARY:
Kanini Software Solutions is seeking a Lead Data Engineer (Databricks) to lead the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks Python and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.
RESPONSIBILITIES:
- Leading the design and delivery of Databricks-based data and analytics solutions for client engagements
- Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities
- Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture.
- Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing.
- Define enterprise data models, ingestion frameworks, and transformation strategies.
QUALIFICATIONS REQUIRED:
- 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions
- 3+ years of experience with Databricks and Apache Spark
- 3+ years of experience with Python and Structured Query Language (SQL)
- 2+ years of experience leading project teams or workstreams
- Experience with Delta Lake, Unity Catalog, or MLflow
- Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience designing batch and streaming data pipelines
- Experience with data governance, data quality, or platform security controls
- Experience supporting client presentations, proposals, or solution demonstrations. (Preferred)
Vacancy posted 2 days ago
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