Amtex Systems Inc.
Databricks SME
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks SME in Dallas, TX, for a 6-month contract. Requires 5+ years in data engineering, expertise in Databricks, Spark, SQL, and BI tools. Strong communication skills and experience with cloud platforms preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Scala #Security #Data Modeling #Data Engineering #Data Integration #Spark SQL #Python #Data Pipeline #Microsoft Power BI #Spark (Apache Spark) #Tableau #Leadership #Compliance #Delta Lake #SQL (Structured Query Language) #Data Governance #Data Quality #BI (Business Intelligence) #AWS (Amazon Web Services) #Azure #Apache Spark #Databricks #Cloud #Data Strategy #Strategy #SAP #"ETL (Extract #Transform #Load)" #Agile
Role description
Role:-Databricks SME
Location:-5 Days a week ON SITE in Dallas, TX
Duration:-6 month Contract
ey Responsibilities:
• Act as the primary SME for Databricks, providing both functional guidance and technical leadership.
• Design, develop, and optimize data pipelines using Databricks (Delta Lake, Spark, SQL).
• Translate business requirements into scalable data models and analytics solutions.
• Develop and maintain reporting and dashboards using tools such as Power BI, Tableau, or similar.
• Collaborate with business stakeholders to define KPIs, metrics, and reporting needs.
• Ensure data quality, governance, and performance optimization across the data platform.
• Support data integration from multiple sources (ERP systems, APIs, cloud platforms).
• Lead troubleshooting, performance tuning, and best practice implementation.
• Mentor team members and contribute to data strategy and architecture decisions.
Required Qualifications:
• 5+ years of experience in data engineering and analytics.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Proficiency in SQL and Python.
• Experience in building dashboards and reports using BI tools (Power BI, Tableau, etc.).
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
• Ability to work across both functional (business-facing) and technical domains.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
Preferred Qualifications:
• Experience with cloud platforms (Azure or AWS).
• Familiarity with enterprise systems such as SAP, Salesforce etc
• Knowledge of data governance, security, and compliance frameworks.
• Experience in Agile delivery environments.
Key Skills:
• Databricks (Expert level)
• Data Engineering & Architecture
• Reporting & Dashboard Development
• Stakeholder Management
• Performance Optimization
Role:-Databricks SME
Location:-5 Days a week ON SITE in Dallas, TX
Duration:-6 month Contract
ey Responsibilities:
• Act as the primary SME for Databricks, providing both functional guidance and technical leadership.
• Design, develop, and optimize data pipelines using Databricks (Delta Lake, Spark, SQL).
• Translate business requirements into scalable data models and analytics solutions.
• Develop and maintain reporting and dashboards using tools such as Power BI, Tableau, or similar.
• Collaborate with business stakeholders to define KPIs, metrics, and reporting needs.
• Ensure data quality, governance, and performance optimization across the data platform.
• Support data integration from multiple sources (ERP systems, APIs, cloud platforms).
• Lead troubleshooting, performance tuning, and best practice implementation.
• Mentor team members and contribute to data strategy and architecture decisions.
Required Qualifications:
• 5+ years of experience in data engineering and analytics.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Proficiency in SQL and Python.
• Experience in building dashboards and reports using BI tools (Power BI, Tableau, etc.).
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
• Ability to work across both functional (business-facing) and technical domains.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
Preferred Qualifications:
• Experience with cloud platforms (Azure or AWS).
• Familiarity with enterprise systems such as SAP, Salesforce etc
• Knowledge of data governance, security, and compliance frameworks.
• Experience in Agile delivery environments.
Key Skills:
• Databricks (Expert level)
• Data Engineering & Architecture
• Reporting & Dashboard Development
• Stakeholder Management
• Performance Optimization
