Data Architect

InfiCare Staffing; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

InfiCare Staffing seeks an experienced Senior Databricks Architect to lead the architecture and technical execution of a large-scale migration for a Foods/Grocery client.

You will design the target Databricks Lakehouse, define migration patterns, and guide the data engineering team to modernize Talend ETL/ELT workloads onto Databricks.

Strong SQL, data modeling, and hands-on Databricks expertise are essential to deliver scalable, reliable data pipelines and governance.

Qualifications

• Migration design to Databricks Lakehouse
• Medallion architecture and Delta Lake patterns
• Data quality and reconciliation required

Responsibilities

• Lead architecture and technical execution of a large-scale migration to Databricks
• Design target Databricks Lakehouse architecture and migration patterns
• Guide the data engineering team to modernize Talend-based ETL/ELT workloads onto Databricks

Skills

Databricks

Databricks Workflows/Jobs

Unity Catalog

Databricks SQL

Performance tuning

Medallion architecture

Modern Databricks data engineering

SQL & data modeling

Batch processing

CDC & SCD

Data quality frameworks

Job description

We are looking for an experienced Senior Databricks Architect to lead the architecture and technical execution of a large-scale migration for a leading Foods/Grocery client.

The architect will be responsible for designing the target Databricks Lakehouse architecture, defining migration patterns, guiding the data engineering team, and ensuring successful modernization of existing Talend-based ETL/ELT workloads onto Databricks.

Required Skills

• Strong hands-on experience with Databricks.
• Databricks Workflows/Jobs.
• Unity Catalog.
• Databricks SQL.
• Performance tuning and optimization.
• Medallion/Lakehouse architecture.
• Experience with modern Databricks data engineering capabilities.
• Strong SQL and data modeling skills.
• Batch and incremental data processing.
• CDC and SCD implementation.
• Data quality and reconciliation frameworks.