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Data Migration Architect Azure Data Platform
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Role description
Data Migration Architect Azure Data Platform
Houston TX Onsite
Job Summary
We are seeking an experienced Data Migration Architect to lead enterprisescale migration initiatives focused on migrating data assets analytics platforms and reporting ecosystems across Azure subscriptions and cloud environments within the Oil Gas industry
This role will drive migration strategy architecture governance and execution for complex data ecosystems involving upstream midstream downstream trading and corporate data domains The ideal candidate brings strong expertise in Azure cloud technologies largescale data migrations analytics modernization and enterprise data architecture
Key Responsibilities
Migration Strategy Architecture
Architect and lead migration strategies for moving data assets across Azure subscriptions tenants and cloud environments
Define migration frameworks reusable accelerators and reference architectures
Assess currentstate ecosystems and design scalable targetstate architectures
Develop migration waves dependency mapping and cutover strategies
Azure Data Platform Architecture
Design and implement migration architectures involving
Azure Databricks for largescale data processing and modernization
Azure Data Factory ADF for orchestration and pipeline migration
Azure Data Lake Storage Gen2
Azure Synapse Analytics
Azure SQL platforms
Power BI semantic models Tabular Models
Azure Key Vault
Azure Purview
Eventdriven architectures and streaming platforms
Responsibilities include
Migrate Databricks notebooks clusters workflows libraries and Unity Catalog assets across subscriptions
Migrate and optimize ADF pipelines linked services triggers datasets and integration runtimes
Lead migration and modernization of Power BI semantic models and enterprise tabular models
Ensure lineage preservation across reporting semantic and consumption layers
Design scalable medallion architecture patterns Bronze Silver Gold layers
Define metadatadriven migration approaches
Data Modeling Analytics
Lead migration of enterprise data warehouses data marts and analytical platforms
Design and migrate dimensional models semantic layers and tabular models
Ensure reporting continuity across downstream consumers
Support modernization from legacy ETL to cloudnative ELT architectures
Oil Gas Domain Responsibilities
Strong understanding of Oil Gas business processes and datasets including
Upstream production and well data
Reservoir and subsurface datasets
Drilling and completions data
Midstream transportation and logistics
Refining and downstream operations
Trading and commodity analytics
Asset reliability and maintenance datasets
Enterprise finance supply chain and operational data domains
Expected responsibilities
Translate business processes into migration architecture patterns
Support migration of operational and analytical datasets used across Oil Gas value chains
Partner with business SMEs to preserve critical business logic and calculations
Governance Security Compliance
Implement secure migration patterns across subscriptions
Design RBAC models and managed identity strategies
Maintain metadata lineage governance and audit requirements
Ensure compliance with enterprise security standards
Delivery Leadership
Lead architecture workshops and migration planning sessions
Drive execution across multiple migration pods and engineering teams
Manage risks dependencies reconciliation and postmigration stabilization
Provide executive updates and technical leadership
Required Qualifications
10 years in data architecture cloud engineering or migration programs
5 years designing enterprise Azure data platforms
Experience leading subscriptiontosubscription migrations
Strong experience in enterprise analytics modernization
Strong Oil Gas industry experience
Required Technical Skills
Azure Platform
Azure Databricks
Azure Data Factory ADF
Azure Synapse
Azure Data Lake Storage Gen2
Azure SQL
Azure Purview
Azure Key Vault
Azure Monitor
Data Analytics
Power BI Semantic Models
SSAS Tabular Models
Dimensional Modeling
Data Warehousing
Data Governance
Metadata Management
Engineering Automation
Azure DevOps
CICD Pipelines
Git
Python
PySpark
SQL
PowerShell
Architecture Patterns
Medallion Architecture
Lakehouse Architecture
Data Mesh Concepts
Data Migration Frameworks
Enterprise Integration Patterns
Preferred Qualifications
Experience in large Oil Gas transformation programs
Experience supporting mergers acquisitions or enterprise integrations
Experience with enterprise reporting modernization
Azure Certifications preferred
Experience leading global delivery teams
Success Metrics
Successful migration of enterprise data assets with minimal downtime
Successful migration of Dat
Skills
Mandatory Skills : Data Architecture
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:
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.
Benefits
Compensation range: $ 100,000.00 to 145,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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