Presales Data Architect – Google Cloud

Will be

• Data Architect is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.  
• You are responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services. 
• Is considered a thought leader and develops IP & collateral for data and analytics. 
• Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs. 
• Client Facing Sales Support – Works with sales account team, interfacing directly with the Rackspace prospects and customers. 
• Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions. 
• Develops High Level Designs and Architectures – Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.  
• Create Proposals – Develop proposals, SOWs (Statements Of Work), business cases and RFP response
• Sales Planning – Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status. 
• Partner Relationship Management – Develop healthy and trusted relationships with key partners in the geography. 
• Intellectual Property Development – Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements etc. 
• Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead. 
• Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects 

Technical Requirements:

• 2+ years of Google Cloud experience and 5+ years of experience as a Data Architect with a proven track recordand experience leading engagements from design to implementation of data analytics solutions.  
• Advanced SQL skills, including the ability to write, tune, and interpret SQL queries; tool specific experience in the RDBMS listed above is ideal. 
• Strong Spark, SQL, Data Modeling, Data lakehouse concepts.  
• Experience in defining the technical architecture on Google Cloud involving Cloud Storage, BigQuery, Dataproc, Dataflow, and Cloud Functions. 
• Experience in designing data models in BigQuery. 
• Proven experience in migrating databases like Teradata to BigQuery. 
• Proven experience in migration databases like mySQL, Postgres, and Oracle to Cloud SQL 
• Certifications in architecture, data engineering and development on Google Cloud. 

Other Requirements:

• Highly motivated self-starter and team player and demonstrated success in prior roles. 
• Track record of success working through technical challenges within enterprise organizations 
• Ability to prioritize deals, training, and initiatives through highly effective time management 
• Excellent problem solving, analytical, presentation, and whiteboarding skills 
• Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems 
• Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations