Big Data Senior Architect
4d ago

Description :

  • Should be able to design complex and high performance Data architecture.
  • Developing and maintaining strong client relations with senior executives & architects developing new insights into the client’s business model and pain points, and delivering actionable, high-impact results.
  • 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.
  • Supporting business development and ensuring high levels of client satisfaction during delivery.
  • 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 Azure / AWS / GCP Big data services, Spark framework and Databricks is must.
  • Should be able to work in a team.
  • Should be able to mentor other team members on Big Data.
  • 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.
  • 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 Big Data solutions using Spark framework, Azure / AWS / GCP Big data services and Industry standard frameworks like Databricks and other tools & technologies.
  • Ability to work with a multi-technology / cross-functional teams and customer stakeholders to guide / managing a full life-cycle of a spark 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 / Azure Synapse / AWS RedShift / GCP Big Query, GCP Big Query / GCP Dataflow / GCP Dataproc / GCP Datafusion / GCP DataComposer / Cloud SQL / AWS Stepfunctions / AWS Lambda / AWS EMR / AWS Batch / Azure Datafactory / Azure HDInsight).
  • Open source Hadoop stack / Spark framework.
  • Hands-on administration, configuration management, monitoring, performance tuning of spark based platforms.
  • Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data.
  • Ability to frame architectural decisions, provide technology leadership & direction.
  • Excellent problem solving, hands-on engineering skills and communication skills.
  • Broad understanding and experience of real-time analytics.
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