Azure Databricks Architect with Oil & Gas Exp

LTM; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Plan

401(k) Plan with Company match

Paid Holidays

Life Insurance

Disability Coverage

Parental Leave

Job summary

LTIMindtree is seeking an Azure Databricks Architect in Houston to lead design, development, and optimization of enterprise-scale data platforms and analytics solutions. You will mentor engineers, collaborate with stakeholders, and drive secure, scalable data solutions aligned to Chevron's Azure-based analytics ecosystem.

Responsibilities include building scalable data pipelines, enabling governance and DevOps for data platforms, and delivering high-performance lakehouse architectures with

Qualifications

• 10+ years in Data Engineering and Data Platform delivery.
• Strong experience leading Azure-based cloud data transformation programs.
• Proven expertise in enterprise-scale Databricks implementations.

Responsibilities

• Lead scalable data pipelines and ETL/ELT frameworks using Azure Databricks and PySpark.
• Architect and optimize data ingestion, transformation, and consumption layers.
• Design data models, dictionaries, and reusable data products.

Skills

Azure Databricks

PySpark

Python

SQL

Azure Data Factory

Azure Data Lake Storage

Azure Synapse

Delta Lake

Databricks Workflows

Data Modeling

Data Warehousing

Azure DevOps

Data Governance

Security

Performance Tuning

CICD

Tools

Unity Catalog

Airflow

Power BI

Lakehouse Architecture

DataOps

MLOps exposure

Job description

Role Description

Azure Databricks Architect with Oil & Gas Exp

Location

Houston TX onsite

Role Summary

Lead the design development and optimization of enterprisescale 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 highperformance 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 PySpark
• 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 crossfunctional teams to translate requirements into technical solutions
• Mentor and guide data engineers and junior team members
• Drive CICD automation and DevOps 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 DevOps
• 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 enterprisescale Databricks implementations
• Experience mentoring teams and driving technical governance

Preferred Skills

• Unity Catalog
• Airflow
• Power BI
• Lakehouse Architecture
• DataOpsMLOps exposure
• Stakeholder management and clientfacing 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.