
Lead Databricks Engineer – Cloud Migration & Lakehouse (Jersey City)
Galent, Jersey City, NJ, United States
Key Responsibilities
Lead and execute
migration of legacy data platforms (on‑prem / non‑standard tools)
to
Databricks on cloud
under the Olympus program
Perform
application, data, and pipeline refactoring
to cloud‑native Databricks patterns
Drive
migration planning
including dependency analysis, sequencing, and cutover strategy
Support coexistence models and transition from
dual‑run to cloud‑only execution
Databricks Lakehouse Engineering
Design and implement
Databricks Lakehouse architecture
Build scalable batch and streaming pipelines using
PySpark, Spark SQL
Leverage
Delta Lake
for reliability, versioning, and performance
Optimize compute usage and cost in line with
enterprise cloud efficiency goals
Required Qualifications
8–12+ years in
data engineering / platform modernization
Strong hands‑on experience with
Databricks
in large‑scale enterprises
Proven experience delivering
cloud migration programs
(on‑prem → cloud)
Deep expertise in
Apache Spark, PySpark, Spark SQL
Experience embedding
controls, reconciliation, and data quality
in migrations
Experience in
regulated environments
(banking / financial services preferred)
Lead and execute
migration of legacy data platforms (on‑prem / non‑standard tools)
to
Databricks on cloud
under the Olympus program
Perform
application, data, and pipeline refactoring
to cloud‑native Databricks patterns
Drive
migration planning
including dependency analysis, sequencing, and cutover strategy
Support coexistence models and transition from
dual‑run to cloud‑only execution
Databricks Lakehouse Engineering
Design and implement
Databricks Lakehouse architecture
Build scalable batch and streaming pipelines using
PySpark, Spark SQL
Leverage
Delta Lake
for reliability, versioning, and performance
Optimize compute usage and cost in line with
enterprise cloud efficiency goals
Required Qualifications
8–12+ years in
data engineering / platform modernization
Strong hands‑on experience with
Databricks
in large‑scale enterprises
Proven experience delivering
cloud migration programs
(on‑prem → cloud)
Deep expertise in
Apache Spark, PySpark, Spark SQL
Experience embedding
controls, reconciliation, and data quality
in migrations
Experience in
regulated environments
(banking / financial services preferred)