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Databricks Solution Architect
Job in
Toms River, Ocean County, New Jersey, 08757, USA
Listed on 2026-08-26
Listing for:
EXL
Full Time
position Listed on 2026-08-26
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
- Lead the end-to-end architecture and solution design for enterprise data platforms on Azure, with strong focus on Databricks Lakehouse, Delta Lake, and scalable cloud-native data ecosystems.
- Define target-state data architecture, ingestion patterns, transformation frameworks, and serving layers to support reporting, advanced analytics, ML, and business-critical decisioning use cases.
- Design and implement robust ETL/ELT pipelines using PySpark, SQL, Databricks Workflows, Auto Loader, and Delta Live Tables for batch and near real-time processing.
- Own architecture standards for data modeling, medallion design, reusable engineering patterns, CI/CD, code quality, environment strategy, and release management across Databricks solutions.
- Drive platform governance and security using Unity Catalog, RBAC/ABAC controls, lineage, auditability, and integration with enterprise governance services such as Purview.
- Optimize solution performance by tuning Spark workloads, cluster policies, partitioning strategy, file sizing, caching, and compute cost management for large-scale data processing.
- Collaborate with business stakeholders, product owners, analysts, architects, and downstream consumers to translate functional and non-functional requirements into scalable technical designs.
- Provide technical leadership to engineering teams by reviewing designs, guiding implementation, resolving architectural bottlenecks, and establishing best practices for Databricks-based delivery.
- Evaluate and recommend Databricks capabilities such as Photon, serverless compute, Lakehouse Federation, and streaming patterns to improve scalability, maintainability, and time to value.
- Ensure strong delivery governance through estimation, technical planning, dependency management, risk mitigation, and Agile execution including sprint planning, backlog refinement, and design reviews.
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