AagatiServe
Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer in Houston, TX (Hybrid – 3 Days Onsite) for a 2+ year contract, offering a competitive pay rate. Requires 12+ years in Data Engineering, 4+ years with Databricks, and expertise in Delta Lake, Spark, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 18, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Azure #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Infrastructure as Code (IaC) #Spark (Apache Spark) #Databricks #Cloud #Data Governance #Delta Lake #Kafka (Apache Kafka) #Data Architecture #ML (Machine Learning) #Scala #Data Engineering #MLflow #Terraform #Leadership #Storage #PySpark #Security #DevOps
Role description
Role: Databricks Architect
Location: Houston, TX (Hybrid – 3 Days Onsite)
Duration: 2+ Year Contract
Required Experience
• 12+ years in Data Engineering/Data Architecture.
• 4+ years of hands-on Databricks experience.
• Expertise in Delta Lake, Spark (PySpark/Scala), and Lakehouse Architecture.
• Strong experience with Unity Catalog, Data Governance, and Security.
• Experience architecting enterprise data platforms on AWS, Azure, or GCP.
Responsibilities
• Design and lead Databricks Lakehouse architecture.
• Define best practices for Data Engineering, Analytics, and ML workloads.
• Architect ingestion, storage, processing, and consumption layers.
• Drive governance, security, lineage, and access controls using Unity Catalog.
• Establish CI/CD, DevOps, and IaC standards using Terraform and Databricks Asset Bundles.
• Optimize compute, performance, scalability, and cloud costs.
• Provide technical leadership and stakeholder engagement.
Preferred Skills
• Databricks Certifications.
• Kafka, Structured Streaming, MLflow, and MLOps.
• Experience in Oil & Gas, Energy, or large enterprise environments.
Keywords
Databricks, Delta Lake, Spark, PySpark, Scala, Unity Catalog, Lakehouse, AWS, Azure, GCP, Terraform, CI/CD, Data Governance, Kafka, MLflow, Data Architecture.
Role: Databricks Architect
Location: Houston, TX (Hybrid – 3 Days Onsite)
Duration: 2+ Year Contract
Required Experience
• 12+ years in Data Engineering/Data Architecture.
• 4+ years of hands-on Databricks experience.
• Expertise in Delta Lake, Spark (PySpark/Scala), and Lakehouse Architecture.
• Strong experience with Unity Catalog, Data Governance, and Security.
• Experience architecting enterprise data platforms on AWS, Azure, or GCP.
Responsibilities
• Design and lead Databricks Lakehouse architecture.
• Define best practices for Data Engineering, Analytics, and ML workloads.
• Architect ingestion, storage, processing, and consumption layers.
• Drive governance, security, lineage, and access controls using Unity Catalog.
• Establish CI/CD, DevOps, and IaC standards using Terraform and Databricks Asset Bundles.
• Optimize compute, performance, scalability, and cloud costs.
• Provide technical leadership and stakeholder engagement.
Preferred Skills
• Databricks Certifications.
• Kafka, Structured Streaming, MLflow, and MLOps.
• Experience in Oil & Gas, Energy, or large enterprise environments.
Keywords
Databricks, Delta Lake, Spark, PySpark, Scala, Unity Catalog, Lakehouse, AWS, Azure, GCP, Terraform, CI/CD, Data Governance, Kafka, MLflow, Data Architecture.
