*Please Send me Profiles at ** [email protected] <[email protected]>*
Hi,
Currently, I am recruiting candidates for one of my requirement as
mentioned below.
*Job Title*
Data Architect
*Project Location*
San Francisco CA
*Duration*
6 months /Contract
* Skills Required and Job Description:*
*MOI : Telephonic followed by Face 2 Face*
* Data Architect - Not Application Architect*
*Job Overview*
The Data Architect will be an integral member of the Digital Insights &
Architecture team within Data Services. This is a highly technical and
hands-on role with responsibility to lead design, implement and support
data architecture deliverables for multiple data integration, data
management, data warehousing, business intelligence and analytics projects.
Able to deliver solid, extensible, highly-available data architecture model
and environment that supports the current and future business and technical
requirements. The candidate will demonstrate both business acumen and
technological insight through data analysis, logical & physical data
modeling, DDL review and consultation. Provide thought leadership and
mentorship while evangelizing data architecture methodologies and best
practices.
Continually strive to improve data/information systems through pragmatic
recommendations of new paradigms and adoption of technologies that enable
data discovery, scalable infrastructure and real-time analytics. Integral
to these responsibilities will be an ability to balance and coordinate
tactical hands-on development against strategic initiatives. This position
requires strong collaboration with data/solution architects,
business/system analysts, DBA, product managers, business partners and
development teams to define requirements and design appropriate analytical
solutions in alignment with organization digital strategy.
*Essential Functions*
- Specify overall data architecture for all areas and domains including
Data Acquisition, Data Integration, ODS, MDM, Data Warehouse, Data
Provisioning, ETL, and BI.
- Responsible for developing and supporting a data model and
architecture that supports and enables the overall strategy of expanded
data deliverables, services, process optimization and advanced business
intelligence.
- Partner with business subject matter experts, system analysts,
data/application architects and development teams to ensure data design is
aligned with business strategy and direction.
- Deliver solutions in a complex production environment with concurrent
considerations such as:
- Phased migration, consolidation and parallel production states of
disparate legacy data environments
- Designs, a multi-platform, multi-tenant systems environment, high
volume structured and unstructured data ingestion
- Processing from multiple global sources.
- Deliver complex and ambiguous business requirements while elevating
data architecture to the next level.
- Design and develop architecture for data services ecosystem spanning
Relational, Columnar, NoSQL, In-Memory and Big Data technologies.
- Contribute to data architecture strategy aligned with technology
strategy and portfolio architecture, develop target architecture, and plan
the transition from current state to target state.
- Understand, document and communicate policies to store and manage
metadata and data dictionary of data assets.
- Responsible for data profiling, data analysis, data specification,
data flow mappings, and business logic documentation associated with new or
modified product data capture requirements
- Identify opportunities to define and drive an operationally effective
and sustainable data strategy by assessing internally available toolsets
and emerging technology trends.
- Conduct data architecture assessments during feasibility,
dimensioning, technical reviews and provide in depth architectural support
during the various phases of the program/project as required.
- Design data models for mission critical and high volume data
management, real-time and distributed data process aligning with the
business requirements.
- Able to quickly identify and resolve data integration issues (data
validation and data cleansing) using various data architecture concepts and
techniques.
- Promote and develop data architecture best practices, guidelines,
procedures and repeatable and scalable frameworks.
- Provide guidance and mentor the technical and business teams by
providing solutions, recommendations and documentation of use cases for
continuous improvement.
- Contribute to build standards around data governance, data security,
privacy, data quality and speed of analysis.
- Able to rationalize, consolidate, or simplify multiple, diverse
technical configurations, technologies, and processing environments.
- Work under general direction and capable of delivering on multiple
competing priorities with little supervision.
*Qualifications:*
*Education/Experience:*
Bachelor’s Degree in Computer Science or other related discipline.
- 10+ years of proven hands on experience in data architecture, data
modelling (relational and dimensional), data architecture and metadata
management.
- 7+ years of experience in data modeling tools such as
Embarcadero/Erwin/ER Studio or comparable toolsets.
- 5+ years of hands-on experience with relational databases (DB2, Oracle
etc.) and columnar databases (Vertica etc.).
- Strong SQL skills, including experience querying large, complex data
sets and performance analysis.
- Strong experience with commercial ETL platforms with in-depth
knowledge and understanding of ETL methodology & design supporting data
transformations transformation layer.
- Experience in In-Memory New SQL, NoSQL and Hadoop
Hive/Sqoop/Scala/Spark.
- Expert level skill in modelling, managing, scaling and performance
tuning of high volume OLTP, OLAP and data warehouse environments.
- Advanced knowledge of data management systems, practices and standards.
- Experience developing highly performant distributed data processing
platform with Big Data technologies.
- Experience in the high paced energy of startups as well as experience
in the structured world of larger companies.
- Proven track record of full life cycle successes from inception to
successful completion and production support
*Other Skills:*
- Excellent verbal and written communications skills.
- Capable of delivering on multiple competing priorities with little
supervision.
- Understanding of systems design and technical concepts in order to
communicate effectively with other cross-functional teams.
- Willing to strive for the ideal design process while still working
within the framework of the organization, project, and environment.
- Strong knowledge and experience with Agile/Scrum methodology and
iterative practices in a service delivery lifecycle is a PLUS.
- Strong estimating, planning skills and proven ability as a
problem-solver.
- Ability and desire to thrive in a proactive, high-pressure,
client-services environment.
- Experience with machine learning, statistical techniques, text mining,
natural language processing, computational linguistics and information
retrieval.
- Experience with different architecture frameworks preferred – TOGAF,
Zachman
- Retail or Customer or marketing analytics background preferred.
Thanks & Regards,*NEHA*Team Lead - Recruiter*RG Talent Inc.*39120 Argonaut
waySuite # 157, Fremont CA 94538Phone : 510-443-0757 EXT- 192Email :
[email protected] : www.rgtalent.com In my absence please contact Meenu
Sharma at following address [email protected]: Under Bill s.
1618 Title III passed by the 105th U.S. Congress this mail cannot be
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