Overview & Responsibilities
Rackspace is seeking a Big Data Senior Delivery Architect to join our professional services team full time in San Antonio or Remote in the USA.
What You’ll Do:
Apply Big Data product and technical knowledge during professional services engagements pre-sales and post-sales leading customers through big data transformation across multiple private and public cloud platforms.
Operate as a senior architect guiding prospects through solution proposal and scoping exercises as well as overseeing large complex engagements led by delivery teams.
Utilize a highly strategic, highly consultative framework with large, complex customers and prospects.
Aligns customer business strategies and IT architecture via Rackspace products and services.
Work closely with senior leadership of client organizations as well as key technical personnel.
Demonstrate industry leading competency across modern data technologies and cloud platforms to design, implement, troubleshoot and optimize advanced solutions.
Drive projects including: Open source technologies; Hadoop, Spark, Kafka, HBase, Hive, Cassandra, MongoDB, Neo4J. Experience in both batch and stream processing technologies.
Cloud data and analytic technologies; AWS: EMR, Athena, Redshift, Kinesis, Glue. Azure: HDInsight, ADLS, Data Lake Analytics, Event Hubs, SQL Data Warehouse. GCP: BigQuery, BigTable, Dataflow, DataProc.
Serves as a senior subject matter expert for Big Data professional services engagements.
Understand complex IT and business customer challenges as it pertains to enterprise architecture, Big Data, and apply technology and product portfolio knowledge to solve problems in a consultative manner.
Lead pre and post sales delivery efforts inclusive of holistic IT optimization, consolidation, and transformation solutions for customers inclusive of discovery, analysis, solution design, migration and optimization.
Prepares and develops statements of work inclusive of overview, scope, duration, deliverables, resources, terms and conditions, assumptions, and pricing.
Lead and deliver the sale of assessment services, business case development, solution architecture, and multi-phased complex migration programs that address technology, people/organization, and process.
Lead facilitation of group white-boarding sessions to articulate Rackspace solutions, transformation methodology, functional separation of customer applications, and development of business case value with financial calculations such as TCO and ROI.
Creates and presents deliverables to customer such as asset inventory, infrastructure snapshot, capacity & performance analysis, consolidation scenarios, application inventory & snapshot, business impact analysis, architecture feasibility analysis, data classification, integration & dependency mapping, consumption & demand analysis, application risk & complexity profile, target platform & service level mapping, migration methodology, schedule & resource planning, target solution design, and executive summary.
Aligns and regularly communicates with Project Manager and extended teams during project delivery to ensure timely delivery and awareness of potential problems or risk requiring resolution or mitigation.
Proactively identify potential issues and work through resolution with internal and external stakeholders.
Perpetually seek to improve and refine the Rackspace Professional Services methodology, deliverables, sales collateral, and team roles and alignment.
Build and maintain a network of cross-functional technical resources within Rackspace and across any relative partnerships to allow for higher productivity, increased business, and rapid resolution of problems and escalations.
Serve as a thought leader and drive strategic direction within Rackspace Professional Services. Develop and implement best practices for team processes.
Occasional domestic travel, up to 50%.
Bachelor’s degree in Information Technology or a related technical field and 12-14 years of industry experience in technical support and/or pre or post sales engineering and architecture.
Additional experience may substitute for the degree requirement at a rate of 3 years of experience for 1 year of education.
Advanced degree preferred.
ITIL certification preferred.
Industry leading knowledge and experience across Big Data domain.
Requires exposure to a range of IT environments, industry sectors & technology stacks.
At least one top tier technical certifications in a highly desired technology domain.
Extensive managed services, consulting, technical support, and/or application development experience preferred.
Preferred Experience with the following open source technologies:
Hadoop, Spark, Kafka, HBase, Hive
Cassandra, MongoDB, Neo4j
Experience in both batch and stream processing technologies
Preferred Experience with the following cloud data and analytics technologies:
AWS – EMR, Athena, Redshift, Kinesis, Glue
Azure – HDInsight, ADLS, Data Lake Analytics, Event Hubs, SQL Data Warehouse
GCP – BigQuery, BigTable, Dataflow, DataProc
Preferred Experience with:
Machine Learning experience with either Spark Mllib or similar
Experience operationalizing models with Tensorflow