Contract - Cloud (Azure) Data & Analytics Architect

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