Job Description

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Job Title: DATA Architect
Work Location
Dallas TX
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• Experience 11 to 15 years

Primary Skills

• Technical Expert Acts as the primary technical authority for Databricks platform-related projects
• Team Leader Leads a team of data engineers, data scientists and analysts working on Databricks based solutions
• Project Manager Coordinates project activities timelines and deliverables related to data engineering and analytics initiatives
• Stakeholder Liaison Communicates with business stakeholders to understand requirements and translate them into technical solutions
• Mentor Provides guidance and mentorship to team members on best practices coding standards and platform usage

Responsibilities of a Databricks Lead

• Architecture Design scalable efficient and secure data pipelines and architectures on Databricks
• Development Implementation Develop and deploy data processing workflows ETLELT pipelines and machine learning models on Databricks
• Platform Management Manage and optimize Databricks environment including cluster configuration performance tuning and cost management
• Data Governance Security Ensure data security compliance and governance policies are implemented within the platform
• Collaboration Work closely with data scientists' analysts and business teams to deliver data driven solutions
• Code Review Quality Assurance Review code and workflows to ensure quality efficiency and adherence to standards
• Troubleshooting Support Resolve technical issues related to Databricks environment and data pipelines
• Documentation Reporting Maintain documentation of architecture processes and best practices generate reports on platform usage and performance
• Continuous Improvement Stay updated with the latest features and best practices in Databricks and big data technologies and incorporate them into projects

Secondary Skills

• Experience in leading data engineering projects using Databricks including the types of data pipelines ETL processes and analytics solutions
• Experience in optimizing Spark based workloads in Databricks for performance and cost efficiency
• Experience in data quality security and governance within Databricks environments especially when working with largescale or sensitive data
• Good communication with experience handling client stakeholders well

Three Qualifying Questions

• Should have experience in data pipeline design using Databricks
• Should have experience in optimizing Spark jobs in Databricks for performance cost efficiency
• Experience in multitenant architecture design on Databricks

Skills:
Mandatory Skills: GCP Data Architecture, MDM Conceptual, Data Architecture, Data Lake house Architecture, Dimensional Data Modeling
About Company:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree -- a Larsen & Toubro Group company -- solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/.

Skills Required