Solutions Architect
Bangalore, KA, IN
6d ago


Your Role as a Data Architect

  • For you to be successful, you must Build partnerships withinand outside the team regardless of formal authority
  • Dismantle personal knowledge and empower others by mentoringand fostering an environment of growth
  • Create value by anticipating and meeting needs of internaland external customers and delivering high quality results and be accountablefor outcomes
  • Open and flexible to accommodate and implement new ideas,understand business complexities, nurture innovation and challenge the statusquo persistently
  • Grasp data that is available, pay attention to details andstrive to be subject matter expert in chosen area of specialty throughcontinuous learning and improvement
  • You’ll bring this to the table

  • Experience in driving solution architecture, planning infra,building large scale and secure data analytics applications
  • Ability to create technical architecture for modern dataplatforms with considerations such as business & technology landscape,functional and non-functional requirements, right tool sets, etc.,
  • End to end implementation experience in data analyticssolutions (data ingestion, processing, provisioning and visualization) forlargescale and complex environments
  • Experience working with data pipelines, distributed computingplatforms, cloud platforms, visualization tools, supporting BI.
  • Hands on experience developing enterprise solutions usingdesigning and building frameworks, enterprise patterns, database design anddevelopment
  • End to end Cloud solution on AWS (EC2, S3, EMR, Spectrum,Dynamo DB, RDS, Redshift, Glue, Kinesis, Aurora DB)
  • Understanding of Design patterns (Lamdba architecture, Datalake)
  • End to end Big data solution on Cloudera, Hortonworks, MapR
  • Realtime solution using Spark streaming, Kafka Apache pulsar Kinesis
  • Batch solution and distributed computing using ETL ELT (SSIS,Informatica, Talend, Spark SQL, Spark Data frame AWS Glue ADF)
  • Distributed compute solution (Spark Storm Hive Impala)
  • Good experience in Data Modelling using tools like Erwin,Query Tuning, handling CTCDC tables.
  • Functional solutions Identify the use cases and definesolutions which will result in value revenue savings to customers
  • Distributed storage and NoSQL storage (HBASE, Cassandra,Mongo DB)
  • DWBI (MSBI, Oracle, Teradata), Data modelling performancetuning, memory optimization DB partitioning
  • Frameworks, reusable components, accelerators, CICDautomation
  • Data governance using Apache atlas, Falcon, Ranger, Metadatamanager
  • Evaluate and recommend alternate architectural patterns,technology stack and components & tool options.
  • Proficiency in data modelling, for both structured andunstructured data, for various layers of storage
  • Mentor and lead a data engineering team to design, develop,test and deploy high performance data analytics solutions
  • Collaborate with Scrum Master and PMO to organizedeliverables into phases and sprints; drive estimation and sizing, contributeactively to planning and scheduling the solution implementation
  • Define best practices, standards, processes for cloud anddata engineering implementation. Support pursuits and presales activities byproviding technical solutioning
  • Ability to work in ambiguous situations with unstructuredproblems and anticipate potential issues risks
  • Experience in handling complex information and presenting itin compelling narratives through business presentations for various audiences
  • Excellent relationship building and organizational skillsProfessional agility and strategic thinking
  • Apply
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