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
