Design Azure data services solutions in support of the data management amp; analytics services solution, including SQL Database, SQL Data Warehouse, HD Insight, Azure Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs
Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, and heterogeneous data management
Apply architectural standards/principles, global product-specific guidelines, security standards, usability design standards, as appropriate.
Secure and automate solutions through collaboration with InfoSec and Engineering resources
Proficient with Azure cloud computing including big data technologies.
5+ years in a solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS and SaaS platforms.
3+ years in a platform/product architecture/development role
Experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), NoSQL, and business analytics
Demonstrable hands on experience implementing Big Data solutions using Azure Data Services
Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, and CosmosDB.
Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.
Understanding of big data use-cases and Hadoop-based design patterns Knowledge of real time/stream analytics trends
Large scale design, implementation and operations of OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, PostgreSQL, CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MongoDB, MySQL, Neo4j, Cassandra, HBase
Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, HDF, Nifi, Kafka, Storm, Sqoop, SSIS, LogicApps, Signiant, Aspera, MoveIT, Alteryx, Pentaho, IDQ,