Databricks Engineer & Data Platform Lead (Phoenix Onsite)

Conquest Tech Solutions Inc

Arizona

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Conquest Tech Solutions Inc in the United States is seeking a Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, with a track record of delivering end-to-end enterprise data solutions.

You will design end-to-end pipelines, build real-time and batch processing, implement data quality and governance, and drive CI/CD automation.

Qualifications

  • End-to-end data platform design and implementation experience.
  • Hands-on expertise with Spark-based batch and streaming pipelines.
  • Strong knowledge of data modeling and warehouse strategies.

Responsibilities

  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming.
  • Lead implementation of cloud-based data lakehouse platforms.
  • Develop ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement data quality frameworks and governance standards.
  • Manage Unity Catalog and fine-grained security.
  • Drive CI/CD automation and DevOps practices for pipelines.
  • Collaborate with stakeholders to translate business requirements into scalable solutions.

Skills

Databricks
Apache Spark
Delta Lake
Lakehouse architecture
PySpark
Scala
SQL
Python
CI/CD
DevOps

Tools

Delta Live Tables
Autoloader
Structured Streaming
Databricks Workflows
Airflow
Unity Catalog

Job description

Conquest Tech Solutions Inc in the United States is seeking a Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, with a track record of delivering end-to-end enterprise data solutions.

You will design end-to-end pipelines, build real-time and batch processing, implement data quality and governance, and drive CI/CD automation.

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