Visionary Data Architect

The role involves designing and implementing end-to-end data pipelines and integration solutions for varied structured and unstructured data sources and targets. This includes architecting, designing, and developing distributed systems that handle high volume multi-thread batch, real-time, and event processing.

• Mentor Young Talent within the Team
• Contribute to building Assets and Accelerators

We're looking for an experienced professional with a strong background in Cloud-based Data Engineering, ETL technologies, and Cloud databases. You should have hands-on experience with Cloud platforms like GCP/AWS/Azure and be well-versed in various data integration tools like Informatica/DataStage/OWB/Talend etc.

Responsibilities include working closely with stakeholders to understand business requirements, translating them into functional and non-functional areas, and defining non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. Additionally, you will be responsible for designing and developing distributed systems, implementing processes to validate data and monitor quality, ensuring production data is accurate and available for key stakeholders and business processes.

A successful candidate will also have a deep understanding of one or more Cloud and On-Premise Databases, exposure to No-SQL databases, preferred experience of having worked on Machine Learning Frameworks, good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.

In this role, you will work closely with cross-functional teams to design and develop scalable, secure, and efficient data engineering solutions that meet business needs. You will contribute to the development of best practices and standards for data engineering, architecture, and governance within the organization.

Requirements:

• More than 8 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/AWS/Azure).
• 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.
• 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 Mongo dB, CouchDB, Cassandra, Graph dB, 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 toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.
• Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.
• Strong Communication and Articulation Skills.
• Good Leadership Skills.
• Should be a good team player.
• Good Analytical and Problem-solving skills.

In addition to these responsibilities, we are seeking someone who can provide expert-level guidance and mentorship to junior team members, contributing to their growth and development within the organization.