Databricks Architect Migration
Tixy Services LLC
Chicago, IL, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Big Data
Cloud Database
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Migration
Data Warehousing
Apache Hadoop
+18 more
Python (Programming Language)
Microsoft SQL Server
Oracle (Applications)
SQL Databases
Teradata SQL
Data Processing
Google Cloud
Snowflake
Apache Spark
Git
Data Lakes
Pyspark
Data Management
Cloud Migration
Azure Synapse Analytics
Data Pipelines
Jenkins
Databricks
Job description
We are seeking an experienced Databricks Architect with a strong background in data migration and cloud modernization. The ideal candidate will design, develop, and implement scalable data solutions on the Databricks Lakehouse platform while leading migration initiatives from legacy data platforms to Databricks., * Design and implement Databricks-based data architectures and ETL/ELT pipelines.
- Lead end-to-end migration projects from legacy data warehouses or big data platforms to Databricks.
- Develop data pipelines using PySpark, SQL, Delta Lake, and Databricks Workflows.
- Optimize data processing, performance, scalability, and cost.
- Collaborate with business stakeholders, architects, and engineering teams to deliver high-quality solutions.
- Ensure data governance, security, and best practices using Unity Catalog and CI/CD processes.
Requirements
- 8+ years of experience in Data Engineering/Data Architecture.
- 3+ years of hands-on experience with Databricks.
- Strong expertise in PySpark, Spark, SQL, Python, and Delta Lake.
- Experience migrating platforms such as Hadoop, Snowflake, Oracle, SQL Server, Synapse, or Teradata to Databricks.
- Experience with Azure Databricks (preferred), AWS, or Google Cloud Platform.
- Knowledge of ETL tools, Git, Azure DevOps/Jenkins, and cloud data architecture.
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