Technology Solutions Professional- Analytics Platform Systems, Sales in Aliso Viejo, CA

TitleTechnology Solutions Professional- Analytics Platform Systems
LocationAliso Viejo, CA
Date AddedJanuary 14, 2015
Open Positions1

Microsoft Analytics Platform System "APS" - Click Here> -- Formerly known as PDW "Parallel Data Warehouse"

Are you excited about an opportunity to drive data warehouse and big data sales and work with emerging technologies? Are you interested in the Data Warehousing space and the opportunity to be part of Microsoft's growth engine? If so, then the Incubation Sales - Analytics Platform System (APS) TSP role is right for you!

Data Warehousing, Big Data, BI\Analytics and Appliance based solutions represents key growth areas for the SQL Server Platform, and is a strategic priority for Microsoft.

Key responsibilities and activities in this role include:

-Successfully driving win rates within assigned Data Warehouse opportunities through the delivery of technical sales engagements, technical presentations, architecture design sessions, APS demo's and PoC's.
-Take lead teaming with the APS SSP and ATU\STU account teams in performing the technical qualification of assigned opportunities.
-Developing technical elements of proposals and architectures that feed into Data Warehouse\Big Data solution documents.
-Build relationships with relevant customer personnel such as infrastructure teams, enterprise architects and Data Warehouse managers.
-Deliver the APS/Big Data "Modern Data Warehouse" Level 300 messaging to customers, partners and core sales teams
-ADS - taking lead and managing DW Architecture Design sessions - and evaluate all options available not having to perform PoC's
-PoC if needed, Managing the technical interface between the customer and the MS and partner POC teams to ensure POC scope & success criteria are clearly defined and documented and ensuring DW artifacts are provided in a timely manner to the POC team.
-Assisting in the execution of the POC if necessary.
Support the development of partner relationships that feed the APS opportunity pipeline and deployments.
-Developing partner enablement and readiness materials to support overall goals.
-Help build solution strategies for current SQL Server customers to scale-out their SQL Server DW solutions using APS, Polybase, PowerBi and the full Microsoft solution stack
-Migrating customers with competitive solutions onto a Microsoft Data Warehouse Solution.

Key Attributes for Candidates:
5-8 years strong sales aptitude with the ability to lead in-depth technology discussions, articulating the business value of a product or technology.
Experience in an environment where customer contacts and knowledge are leveraged to listen proactively for up-sell/cross-sell opportunities.
Deep technical skills with the ability to translate the feature/function sets of our products into customer solutions using SQL Server expansion and wins against the competition.
Working proactively within assigned opportunities to uncover and qualify new opportunities.
Developing strong, strategic partners engaged in immediate and long-term strategic opportunities and committed to Microsoft.
Ability to work hand-in-hand with the Core Field SSP/PSS, AM and ATS teams ( ATU/STU - EPG, SMSP, SLG others)
Is a resourceful problem-solver, leveraging internal and partner resources in assigned opportunities where and when needed to do what's right for the customer

Technical Requirements:
Subject Matter Expertise:
o 200 to 300 Level understanding of data warehousing and data management techniques such as data quality, data modeling, master data services, Kimball / Inmon / Data Vault approaches to data warehouse design
o 200 to 300 Level Understanding of the corporate data environment, tools used, both Microsoft (i.e. SSIS, SQL Server, SQL Server Analysis Services(SSAS)) and non-Microsoft (IBM DB2 / DataStage, Informatica, Oracle)
o Experience or knowledge with one or more large-scale data warehouse appliance solutions such as Oracle Exadata, DB2, Teradata, EMC Greenplum and IBM PureData(Netezza)
o 100 to 200 Level knowledge of server and storage architectures and associated concepts such as sequential I/O, HW SW balanced systems design, fiber channel, SAS storage etc.
o 100 to 200 Level knowledge of operating system fundamentals
o 200 to 300 Level knowledge in logical data modeling concepts

Microsoft Products:
o 200 to 300 Level knowledge of MS SQL Server
o 100 Level knowledge of Fast Track Data Warehouse Reference Architecture, APS or similar competing products and services
o 100 Level knowledge of the Microsoft Systems, Reporting Services, Analysis Services, Integration Services
o 100 Level knowledge in other Microsoft products, such as Exchange, PowerBI, Sharepoint, BizTalk, and EAI
o 100 to 200 level knowledge of the Microsoft Azure platform and Cloud computing.
o 100 to 200 level knowledge of Hadoop
o 100 to 200 level knowledge of Azure ML, HDInsight in Azure, and Power BI

Hardware & Infrastructure:
o 100 Level understanding of server technologies such as PCI Express, Memory Architectures, NUMA
o 100 Level understanding of networking and interconnect technologies such as Fiber Channel, Infiniband, Ethernet
o 100 Level knowledge of storage and I/O monitoring and optimization
o 100 Level knowledge of architectures for high-availability and fault tolerance (e.g. clustering)
o 100 Level knowledge of data center operations

Competitor Products:
o 100 Level knowledge of IBM (DB2, DataStage)
o 100 Level knowledge of Oracle (10g / 11g, Exadata)
o 100 Level knowledge of 2 or more of Teradata, IBM PureData\Netezza, EMC Greenplum, Aster Data, IBM DB2 EEE, Vertica
o 100 Level knowledge, at least 1 of Informatica, Ab Initio, DataStage, SAP BODI
o 100 level knowledge of Amazon RedShift or Google BigQuery
o 100 level knowledge of at least two Spotfire, Tableau, QlikView, MicroStrategy

Comparable jobs @ Microsoft:
TSPs for SQL Server Platform, MTC Platform Architect, Partner SQL Server/BI/DB, Voice, Identity, HPC, and Windows Azure

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
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