Senior Data Architect

Job description

Designation: Senior Architect - Data Experience Level: 15+ Years Location: Mumbai/Bangalore/Trivandrum (Hybrid) Role & Responsibilities: ● More than 10 years of experience in Technical, Solutioning, and Analytical roles. ● 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud GCP ● Ability to understand business requirements, translate them into functional and non-functional areas,define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. ● Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. ● Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP Cloud. ● Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala,Dataflow, DataProc, EMR, etc. on various Cloud. ● Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc. ● Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. ● Exposure to any of the No-SQL databases like MongodB, CouchDB, Cassandra, Graph dB, etc. Senior Architect - Data ● Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift. ● Experience in having worked on one or more data integration, storage, and data pipeline tool sets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. ● Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc. ● Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design. ● Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud. ● Good understanding of BI Reporting and Dashboarding and one or more tool sets associated with it like Looker. ● Understanding of Security features and Policies in one or more Cloud environments like GCP. ● Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP. Role: ● Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. ● Interface with multiple stakeholders within IT and business to understand the data requirements. ● Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction. ● Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems. ● Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.