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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