Cloud Data Architect Lead
4 days ago
We are seeking an experienced Cloud Data Architect Lead to join our team at Quantiphi Analytics.
About the RoleThis is a leadership position that involves designing and implementing cloud-based data architectures for our clients. As a Cloud Data Architect Lead, you will be responsible for leading multiple data engagements on Google Cloud Platform (GCP) for data lakes, data engineering, data migration, data warehouse, and business intelligence.
Key Responsibilities- Interface with multiple stakeholders within IT and business to understand data requirements.
- Take complete responsibility for the successful delivery of all allocated projects on 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.
- Work with Pre-Sales team on RFP, RFIs and help them by creating solutions for data.
- Mentor young Talent within the Team, Define and track their growth parameters.
- Contribute to building Assets and Accelerators.
- More than 15 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 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.
- 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/AWS/Azure 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.
- 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, Tableau, Power BI, SAP BO, Cognos, Superset, etc.
- Understanding of security features and policies in one or more cloud environments like GCP/AWS/Azure.
We offer a competitive salary range of $200,000 - $300,000 per annum, depending on experience. Additionally, you will receive a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
About UsQuantiphi Analytics is a leader in AI, decision science, and big data transformation. We help organizations unlock value from their data through our expertise in cloud-based data architectures. Our team is passionate about delivering innovative solutions that drive business impact.
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