At least 3-year experience as architect for large scale cloud data projects involving minimum 3 technological tracks as mentioned above in hyper scaler platforms.
Minimum 6 years’ expertise in data and analytics area.
Deep understanding of databases and analytical technologies in the industry including MPP and NoSQL databases, Data Lake, Data Warehouse design, BI reporting and Dashboard development.
Experience of Data architecture, data governance, data quality standards, and data security practices in at least 2 implementations.
Experience in customer data models and developing KPIs out of customer data.
Experience in customer facing roles to provide Solutions for Data use cases.
Certification in the Cloud based data stack.
Experience in deployment of a large distributed Big Data Application
Track record of thought leadership and innovation around Big Data. Solid understanding of Data landscape and related emerging technology.
Technical skills needed:
Languages – Java, Python, Scala
AWS – S3, EMR, Glue, Redshift, Athena, Lamda
Azure – Blob, ADLS, ADF, Synapse, PowerBI
Google Cloud – Bigquery, DataProc, Looker
Snowflake
Databricks
CDH - Hive, Spark, HDFS, Kafka CDH etc.
ETL – Informatica/DBT/Mattilion,
Roles & Responsibilities:
Architect and Design Sales and Marketing data initiatives, demonstrate data architectural knowledge, customer management and innovation
Delivery of customer Cloud data Strategies for Marketing, aligned with customer’s business objectives and with a focus on Cloud Migrations
Provide leadership in platform migration methodologies and techniques including governance frameworks, guidelines, and best practices.
Build point of views, thought leadership, solutions for proposals, competency development and mentoring etc.
Solution Design experience on Data Lake, Data Warehouse, BI, Data Mart and Analytics systems
Delivery of customer Cloud Strategies, aligned with customer’s business objectives and with a focus on Cloud Migration.
