Job Description :
Job Title: Big Data Architect

Location: Rockville, MD

Duration: Full Time

*Key Skill: Scala, Kafka, Spark, should be hands-on

*Big Data Architect*

The Data & Analytics Architect will be responsible for designing,
architecting and implementing the data processing systems capable of
processing, storing and distributing data in robust Data &
Analytics Solutions. Working with multi-technology and cross functional
teams and clients, you should be able to manage the entire life cycle of a
solution. You should be able to take architectural decisions and provide a
technology leadership and direction to the organization.
*Position Activities and Tasks*
Should be able to design complex and high performance architecture
Developing and maintaining strong client relations with senior
and C-level executives developing new insights into the client s business
model and pain points, and delivering actionable, high-impact results
Participating and leading client engagement in developing plans
and strategies of data management processes and IT programs for the
clients, providing hands on assistance in data modeling, technical
implementation of vendor products and practices
Facilitating, guiding, and influencing the clients and teams
towards right information technology architecture and becoming interface
between Business leadership, Tech leadership and the delivery teams
Leading and mentoring other IT consultants within the practice
and across business units
Supporting business development and ensuring high levels of
client satisfaction during delivery
Contributing to the thought capital through the creation of
executive presentations, architecture documents, and IT position papers
Scope Client requirements
Specify solutions and articulate value to customers
Provide best practice advice to customers and team members
Participate with End-users and do requirement gathering and
convert into technical documentation
Identify the performance bottle-necks and resolve the same
Knowledge of Data & Analytics features and Plug-ins

*Mandatory People Skills*

Should be able to work in a team
Should be able to Mentor other team members on Data & Analytics
Ability to produce high quality work products under pressure and
within deadlines
To coordinate with developers / other architects / other
stakeholders and cross functional teams from organization and customer side

*Mandatory Functional Skills*

Knowledge of TTH will be appreciated
Participate in full Software Development Life Cycle (SDLC) of the
Data & Analytics Solution


Bachelor''s degree in Computer Science or a related field
preferred (BE/B.Tech)
Master''s degree in a related field preferred (ME/M.Tech, MS, MCA)
*Professional Experience Required*
10-15 years of experience in designing, architecting and
implementing large scale data processing/data storage/data distribution
Extensive experience working with large data sets with hands-on
technology skills to design and build robust Data & Analytics solutions
Ability to work with a multi-technology/cross-functional teams
and customer stakeholders to guide/managing a full life-cycle of a Data
(including Big Data) solution
Extensive experience in data modelling and database design
involving any combination of -
Data warehousing and Business Intelligence systems and tools
Relational and MPP database platforms like Netezza, Teradata
Open source Hadoop stack
Hands-on administration, configuration management, monitoring,
performance tuning of Hadoop/Distributed platforms
Strong understanding of Data & Analytics platforms and ETL in
the context of Data & Analytics
Ability to frame architectural decisions, provide technology
leadership & direction
Excellent problem solving, hands-on engineering skills and
communication skills
*Professional Experience Preferred*
Knowledge/experience of cloud computing infrastructure (e.g.
Amazon Web Services EC2, Elastic MapReduce)
Considerable understanding and experience of real-time analytics
Should be willing to independently code & review modules are
required ( Role not at solution architecture level only)
*Technical Skills Required*
Any combination of below technical skills
*Hadoop:* HDFS, MapReduce, Hive, Hbase, Pig,
Mahout, Avro, Oozie
*Streaming Processing: *Spark, Strom, Samza
*NoSQL: * Cassandra, MongoDB, Hbase
*Appliances:* Teradata, Netezza, Greenplum, Aster
Data, Vertica
*Languages:* Java, Scala, Linux, Apache,
*Cloud:* AWS, IBM Softlayer, Microsoft
Azure, Google Cloud