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
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
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