*For an immediate consideration, please send your resume to
srinivas.axiustek.com as a word.doc attachment ASAP.*
*Full Time SFO, California.**GC Citizens,EAD.*


DW Architect(Data Integration) - Job Profile
12-15 yrs in IT industry with extensive experience in architecting data
warehousing solutions, data integration solutions for large scale global
data warehousing/ data integration programs (50 to 100+ team size, 5 M USD
+). The candidate should have a good technical background of industry
standard data warehousing tools and technologies in ETL, OLAP and
Information Management space. The candidate should have a specialization and
focus towards solutioning and architecting data integration solutions for
data warehouse, data integration with experience in architecting solutions
for enterprise wide data integration initiatives with experience in 1 or
more technologies like Informatica, IBM Datastage, AbInitio, Other data
integration tools etc. The candidate should have been in customer facing
roles in pre sales work like proposals, workshops for customers with
in-depth knowledge in data integration domain and associated areas. The
candidate should have been working with leading IT services providers and
should be very familiar with global delivery models and operations. Should
have solid practical experience in software quality systems and processes
CMMi, ITIL compliance etc, and project planning and cost management.
Roles and Responsibilities
• Architecting Solutions with data integration depth in delivering complex
data warehousing projects or enterprise data integration initiatives in a
cost effective and operationally efficient manner
• Building and Implementing Enterprise Data Integration Roadmap, strategy
for Clients, given the existing silo’ed data integration environments
available to ensure efficient and scalable data integration solutions
• Conduct architecture reviews from a data integration perspective,
addressing the solution requirements from a scalability, flexibility,
connectivity, batch performance(performance in totality of  the data
warehouse ), real time connectivity, reusability etc.
• Expertise in handling various aspects of a Data warehouse architecture and
drive workshops for customers to arrive at efficient architecture. Build
point solutions,  proof of concepts on focus topics like data integration,
real time data integration,  CDC based data integration, data warehouse
performance optimization, data quality, data masking, data archival, data
migration etc.
• Guide the project team in terms of enterprise wide data integration best
practices, standards and ensure that project teams are following the
recommended practices
• Work collaboratively with the center of excellence in driving data
integration specific solutions and support in doing beta testing of data
integration product releases, tool evaluation of different data integration
vendors, proof of concept of making data integration products work with
other segment products or customize it to the specific requirements of a
client.
• Work collaboratively with the delivery teams in increasing productivity of
teams through efficient processes, global delivery models(fixed price,
managed services, factory model, solution center etc), reusable components
built.
• Develop processes and systems in place to build architects in data
integration area, with emphasis on right training required, varied project
experience and support projects on a continuous basis on the right
architecture fitment.
• Thought leadership in evaluating the various trends in data integration
space, building competency in the emerging areas like cloud data integration
etc, and build solutions around the emerging areas for addressing client
specific issues.
• Supporting Knowledge management and Practice specific initiatives around
data integration.
Key Skills
Technical skills – Data Integration technologies like Informatica, IBM
Datastage, AbInitio, Oracle Data Integration where the deployments have been
of a enterprise data integration scale with experience in handling data
movement in data warehouses of size 10 TB or more.
Soft Skills – Excellent written and oral communication skills, should have
proven networking, negotiation skills and a good team player
Educational Qualifications: Bachelor’s or Master’s degree in Engineering and
Business Administration
Others
The candidates should be open for short term travel within India and
overseas for client visits, proposal presentations, workshop presentations,
vendor liaisons, project architecture support etc

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