Senior Databricks Architect

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Talend
  • Data EngineeringData Engineering
  • ETL/ELT architecture

Summary

Job Title: Senior Databricks Architect

Location: Remote

Job Type: Long-Term Contract

Experience: 10+ years overall IT; 5+ years in Databricks / Cloud Data Engineering / Data Architecture

 

Job Overview

Key Responsibilities

  • Define target-state Databricks Lakehouse (Medallion: Bronze/Silver/Gold) architecture
  • Establish migration frameworks, design patterns, and coding standards
  • Analyze and reverse-engineer existing Talend jobs, mappings, and dependencies
  • Translate Talend transformations into PySpark/SQL/Databricks implementations
  • Implement CDC, SCD Type X/X, data quality, error handling, and audit frameworks
  • Optimize Spark workloads, Delta tables, partitioning, and job execution
  • Design integrations with cloud storage, databases, messaging platforms, and APIs
  • Provide technical leadership, mentoring, architecture reviews, and code reviews
  • Communicate technical risks and recommendations to client leadership

 

Required Skills

  • Databricks: Databricks, Apache Spark, PySpark, Delta Lake, Databricks Workflows, Unity Catalog, Databricks SQL, performance tuning
  • Data Engineering: SQL, data modeling, ETL/ELT architecture, batch and incremental processing, CDC, SCD, data quality, large-volume data processing
  • Talend: Talend Data Integration, job analysis, migration to cloud data platforms
  • Cloud: Microsoft Azure or AWS, ADLS/S3, cloud networking, IAM/RBAC, secrets management
  • DevOps: Git/GitHub/Azure DevOps, CI/CD, Terraform, automated testing, monitoring

 

Preferred Skills

  • Databricks or Cloud certifications (Azure/AWS Data Engineer or Architect)
  • Experience with Unity Catalog and data governance
  • Kafka or other streaming technologies
  • Azure Data Factory or equivalent orchestration tools
  • Power BI or other BI platforms
  • Retail/Grocery domain experience
  • Experience with automated Talend-to-Databricks migration frameworks

 

Location & Work Model

Remote

 

Engagement Details

Domain: Retail/Grocery. This is a contract engagement. Education: Bachelor's or Master's in Computer Science, IT, Engineering, or related field preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 112621-1090-1789489656
  • Posted 3 hours ago
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