Role description ob Title Data Architect Azure Databricks
Experience
11 Years
Location
India HybridRemote
Job Summary
We are seeking an experienced Data Architect with 11 years of experience in designing and implementing enterprisescale data platforms and analytics solutions on Microsoft Azure The ideal candidate should possess strong expertise in Azure Databricks Azure Data Factory ADF SQL Python and PySpark with proven experience in building scalable secure and highperformance data ecosystems supporting business intelligence advanced analytics and AIML initiatives
Mandatory Skills
Azure Databricks
Microsoft Azure Cloud
Azure Data Factory ADF
SQL
Python
PySpark
Key Responsibilities
Data Architecture Design
Design and implement scalable cloudbased data architectures on Azure
Define enterprise data models data integration patterns and data governance standards
Architect modern Data Lakehouse solutions using Databricks and Delta Lake
Create conceptual logical and physical data models
Data Engineering Integration
Design and develop batch and realtime data pipelines using ADF and Databricks
Build scalable ETLELT frameworks using Python and PySpark
Integrate data from multiple source systems including databases APIs SaaS platforms and files
Optimize Spark jobs Databricks clusters and SQL workloads for performance and cost efficiency
Data Governance Security
Implement data quality lineage metadata and governance frameworks
Establish security controls rolebased access and compliance standards
Define best practices for data lifecycle management and monitoring
Stakeholder Engagement
Work closely with business stakeholders product owners and development teams to translate business requirements into technical solutions
Provide technical leadership and architectural guidance to data engineering teams
Participate in architecture reviews solution design sessions and technology evaluations
Delivery Leadership
Lead endtoend implementation of enterprise data platforms
Mentor data engineers and enforce engineering best practices
Drive continuous improvement and innovation in cloud data solutions
Required Qualifications
Bachelors or Masters degree in Computer Science Information Technology Engineering or related field
11 years of experience in Data Engineering Data Warehousing and Data Architecture
5 years of handson experience in Azure Cloud and Databricks ecosystem
Strong experience designing Lakehouse architectures and enterprisescale data platforms
Expertise in SQL optimization and advanced query development
Strong programming background in Python and PySpark
Experience with CICD DevOps and Agile delivery methodologies
Technical Competencies
Azure Databricks
Azure Data Factory ADF
Azure Data Lake Storage ADLS Gen2
Delta Lake
Spark SQL
Python
PySpark
Azure SQL Database
Data Modeling
ETLELT Design
Data Governance Security
Performance Tuning
Azure DevOps Git
Preferred Skills
Azure Synapse Analytics
Microsoft Fabric
Data Mesh Data Products Architecture
Streaming technologies Kafka Event Hub
AIML Data Platform experience
Databricks Unity Catalog
Certification in Azure Data Engineering or Azure Solutions Architecture
Soft Skills
Strong communication and stakeholder management
Excellent analytical and problemsolving abilities
Leadership and mentoring capabilities
Ability to drive architecture decisions across distributed teams
Key Deliverables
Enterprise Data Architecture
Lakehouse Data Platform Design
Scalable Data Pipelines
Data Governance Frameworks
Performance Optimized Analytics Solutions
Cloud Migration Modernization Strategies
Skills
Mandatory Skills : Azure BLOB, Azure Data Factory, Databricks
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, recent 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.