Data Architect
Brillio Technologies Pvt. Ltd
Bangalore
1d ago
source : Shine

Your Role as a Data Architect

For you to be successful, you must Build partnerships within and outside the team regardless of formal authority

Dismantle personal knowledge and empower others by mentoring and fostering an environment of growth

Create value by anticipating and meeting needs of internal and external customers and delivering high quality results and be accountable for outcomes

Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently

Grasp data that is available, pay attention to details and strive to be subject matter expert in chosen area of specialty through continuous 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 data platforms with considerations such as business & technology landscape, functional and non-functional requirements, right tool sets, etc.,

End to end implementation experience in data analytics solutions (data ingestion, processing, provisioning and visualization) for largescale and complex environments

Experience working with data pipelines, distributed computing platforms, cloud platforms, visualization tools, supporting BI.

Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development

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, Data lake)

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 define solutions which will result in value revenue savings to customers

Distributed storage and NoSQL storage (HBASE, Cassandra, Mongo DB)

DWBI (MSBI, Oracle, Teradata), Data modelling performance tuning, memory optimization DB partitioning

Frameworks, reusable components, accelerators, CICD automation

Data governance using Apache atlas, Falcon, Ranger, Metadata manager

Evaluate and recommend alternate architectural patterns, technology stack and components & tool options.

Proficiency in data modelling, for both structured and unstructured 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 organize deliverables into phases and sprints; drive estimation and sizing, contribute actively to planning and scheduling the solution implementation

Define best practices, standards, processes for cloud and data engineering implementation. Support pursuits and presales activities by providing technical solutioning

Ability to work in ambiguous situations with unstructured problems and anticipate potential issues risks

Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences

Excellent relationship building and organizational skills Professional agility and strategic thinking

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