Job description

Contract - Cloud (Azure) Data & Analytics Architect job at Smartbridge. Houston, TX. Looking for contractors who may be available for full time and part time hours. What's the Opportunity? As a Cloud Data & Analytics Architect at Smartbridge, you'll: • Collaborate with customers, Smartbridge teams, and partners to deliver Microsoft Azure solutions to solve critical business challenges. • Lead technical feasibility assessments, develop proposals and estimates for data & analytics solutions. • Design and develop functional and technical solutions for Azure platforms, • Lead and mentor teams in implementing cloud data & analytics solutions in enterprise environments. • Share technical insights and best practices with the Smartbridge community, • Drive business development for data & analytics opportunities, • Engage with Smartbridge experts to provide cutting-edge solutions to clients. • Maintain and grow client relationships. What You Need: • Broad knowledge of the Microsoft Azure cloud platform and expertise with architecting, designing, and implementing data & analytics solutions on Azure. • Participate in requirement gathering sessions / interviews with customers to understand their needs and design solution architecture that meets the business need. • Experience with cloud data warehouses and data lakes (Azure Synapse, Snowflake). • Experience with cloud data integration/processing (Azure Data Factory, Azure Databricks, Spark). • Knowledge of data architecture, networking, security in the cloud. • Ability to roll up the sleeves and develop data engineering solutions. • Understanding of data science tools, machine learning, and analytics models. • Strong grasp of cloud computing, emerging trends, and tech landscapes. • Proven track record in project leadership and stakeholder engagement. • Full lifecycle experience in data & analytics solutions with agile methods. • Prior experience with migrating On-Premises data warehouses to Azure. • Familiarity with designing and implementing Azure DevOps. • Exceptional communication and presentation skills with a high degree of comfort with both large and small audience groups. Education: • Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field

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