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Azure Databricks Architect Oil & Gas Exp

Job in Houston, Harris County, Texas, 77246, USA
Listing for: LTM
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Azure Databricks Architect with Oil & Gas Exp

Role Description

Azure Databricks Architect with Oil & Gas Exp

Location

Houston TX onsite

Role Summary

Lead the design development and optimization of enterprise scale data platforms and analytics solutions using Azure Databricks Drive data engineering best practices mentor team members and collaborate with business stakeholders to deliver scalable secure and high performance data solutions This aligns with Chevrons Azurebased Data Analytics ecosystem

Key Responsibilities
  • Lead the development of scalable data pipelines and ETLELT frameworks using Azure Databricks and Py Spark
  • Architect and optimize data ingestion transformation and consumption layers
  • Design data models data dictionaries and reusable data products
  • Implement data governance quality security and compliance standards
  • Optimize Spark workloads Databricks jobs and overall platform performance
  • Collaborate with business users data scientists and cross functional teams to translate requirements into technical solutions
  • Mentor and guide data engineers and junior team members
  • Drive CICD automation and Dev Ops best practices for data platforms
  • Support Data Lakehouse architecture and enterprise analytics initiatives
Required Skills
  • Azure Databricks
  • PySpark Apache Spark
  • Python
  • SQL TSQL
  • Azure Data Factory ADF
  • Azure Data Lake Storage ADLS
  • Azure Synapse Analytics
  • Delta Lake
  • Databricks Workflows
  • Data Modeling Data Warehousing
  • Azure Dev Ops
  • Data Governance Security
  • Performance Tuning and Optimization
  • CICD and Automation Frameworks
Experience
  • 10 years in Data Engineering Data Platform delivery
  • Strong experience leading Azurebased cloud data transformation programs
  • Proven expertise in enterprise scale Databricks implementations
  • Experience mentoring teams and driving technical governance
Preferred Skills
  • Unity Catalog
  • Airflow
  • Power BI
  • Lakehouse Architecture
  • DataOpsMLOps exposure
  • Stakeholder management and client facing communication
Other Details

Variable Compensation:
This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And Perks
  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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