More jobs:
Databricks
Job in
Edison, Middlesex County, New Jersey, 08817, USA
Listed on 2026-11-05
Listing for:
Ameri-partners
Full Time
position Listed on 2026-11-05
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Ameri Partners is seeking a Databricks Subject Matter Expert (SME) to lead the design and delivery of enterprise-scale data platforms and Lakehouse solutions.
This role requires deep hands-on expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, cloud data platforms, and modern data engineering practices
. The SME will provide technical leadership across architecture, data pipelines, governance, performance, and production deployment.
- Design scalable Databricks Lakehouse architectures using Delta Lake, Unity Catalog, and Bronze/Silver/Gold data patterns.
- Develop and optimize ETL and ELT pipelines using Apache Spark, PySpark, Scala, SQL, and Databricks Workflows
. - Establish data governance, lineage, access controls, and data-quality standards.
- Improve Spark workloads, query performance, storage design, and overall platform efficiency.
- Support enterprise Databricks environments across Azure, AWS, or GCP
. - Contribute to MLflow, MLOps, model deployment, and production machine-learning workflows
. - Review solution architectures and provide technical direction for complex data-platform initiatives.
- Troubleshoot difficult performance, integration, and scalability issues.
- Partner with engineering, analytics, architecture, and business teams to translate requirements into scalable technical solutions.
- Lead technical discussions and provide guidance to project teams and stakeholders.
- 10+ years of experience in data engineering, analytics engineering, or data/platform architecture.
- 5+ years of hands-on Databricks experience
. - Strong expertise with Apache Spark, Delta Lake, Unity Catalog, PySpark/Scala, and SQL
. - Experience designing and supporting enterprise-scale cloud data platforms.
- Strong understanding of data architecture, governance, performance optimization, and distributed data processing.
- Experience working in client-facing or cross-functional technical environments.
- Ability to lead architecture reviews and solve complex technical problems independently.
Qualified Databricks professionals with strong architecture and hands-on engineering experience are encouraged to apply through this posting.
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