W2 Contract Role || Snowflake Cloud Data Architect

Innoworklab Technologies Pvt Ltd - Pittsburgh, PA

Full-time - Senior

Remote - Pittsburgh, PA

About the position

The Sr. SnowFlake Cloud Data Architect will serve as a technical leader within the organization, focusing on data architecture and engineering best practices specifically within the Utilities industry. This role involves strategic planning, collaboration with various stakeholders, and ensuring compliance with data management standards. The position is hybrid, requiring three days in the office and two days of remote work in Pittsburgh, PA, for a duration of 12 months.

Responsibilities

• Develop and deliver long-term strategic goals for data architecture vision and standards.
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
• Collaborate with third parties and business subject matter experts to enable company strategic imperatives requiring secure and accessible data cloud capabilities.
• Develop processes for governing the identification, collection, and use of corporate metadata.
• Track data quality, completeness, redundancy, and improvement.
• Conduct cloud consumption cost forecasting, usage requirements, proof of concepts, and feasibility studies.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Act as a leader and advocate of data management, including coaching and training staff.
• Document the data architecture and environment to maintain an accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.

Requirements

• Bachelor's degree in computer science, information systems, computer engineering, or relevant discipline.
• 15 or more years of experience in data architecture or related fields.
• Relevant professional certifications are required.
• Five or more years' work experience as a data or information architect.
• Hands-on experience with data architecting, data mining, large-scale data modeling, cloud data storage, and analytics platforms.
• Experience with Azure, AWS, or Google data capabilities.
• Experience with Databricks, Synapse, Foundry, Power BI, and/or Snowflake preferred.
• Direct experience in implementing data solutions in the cloud.
• Strong understanding of relational data structures, theories, principles, and practices.
• Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.

Nice-to-haves

• Utilities experience strongly preferred.
• Experience with enterprise platforms such as Oracle, Maximo, etc. preferred.
• Experience with GIS Geo-Spatial Data, time-phased PI Historian or collector data preferred.
• Understanding of Web services (SOAP, XML, UDDI, WSDL).
• Object-oriented programming experience (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.).
• Good knowledge of applicable data privacy practices and laws.

Benefits

• Hybrid work model (3 days in office, 2 days remote)
• Opportunity for professional development and training