Program Architect - Data & Analytics

Architect Large Scale Data Hadoop, Spark, Cassandra
Full Time
Negotiable
Telecommuting not available Travel required to 10%.

Job Description

For Mindtree, "Welcome to possible" is more than a slogan - it reflects our approach to every engagement.

 

We are among the fastest growing technology firms globally with more than 200 clients and offices in 14 countries. We deliver amazing results: Helping 150 million passengers fly safely.

 

Improving security and performance for one of the world*s largest e-commerce stores. Unifying brand messaging and improving engagement for one billion consumers.

 

Mindtree delivers technology services and accelerates growth for Global 1000 companies by solving complex business challenges with breakthrough technical innovations.

 

Mindtree specializes in e-commerce, mobility, cloud enablement, digital transformation, business intelligence, data analytics, testing, infrastructure, EAI and ERP solutions.

 

Welcome to possible.

 

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

Education

  • 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

  • 15 - 18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems

  • 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 modeling 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 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, Perl/Python/PHP

  • Cloud                  : AWS, IBM Softlayer, Microsoft Azure, Google Cloud

  • Any RDBMS/DWBI technologies

 

 

 

 

 

Posted By

Samuel White

720 Southwest 2nd Avenue, South Tower Gainesville, FL, 32601

Dice Id : 10207105
Position Id : 8265
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