Senior Data Solutions Architect

11 hours ago

Vadodara, Gujarat, India beBeeDataProfessional Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Key Data Leadership Role

A seasoned data professional with over 10 years of experience in technical, solutioning, and analytical roles. Proficient in designing and implementing end-to-end data pipelines and integration solutions for various structured and unstructured data sources and targets.

Key Responsibilities:

  • Designing scalable data warehouse solutions on cloud platforms such as Google Cloud Big Query or Amazon Redshift.
  • Leading multiple data engagements on Google Cloud Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.
  • Developing distributed, high-volume multi-thread batch, real-time, and event processing systems.
  • Implementing processes and systems to validate data, monitor data quality, and ensure production data is always accurate and available for key stakeholders and business processes.
  • Mentoring young talent within the team, defining, and tracking their growth parameters.

Requirements and Qualifications:

  • 8+ years of experience in technical, solutioning, and analytical roles.
  • 5+ years of experience in building and managing data lakes, data warehouses, data integration, data migration, and business intelligence/artificial intelligence solutions on cloud platforms.
  • Ability to understand business requirements, translate them into functional and non-functional areas, and 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 integration solutions for varied structured and unstructured data sources and targets.
  • Experience in working 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.
  • 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.
  • Experience of having worked in business transformation projects for movement of on-premise data solutions to clouds like GCP/AWS/Azure.

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