Azure Data Architect

Job Type:

• Fulltime/Permanent

Innominds is a product engineering services provider and also a Microsoft Cloud Services partner. Innominds builds data management and AI solutions for a number of its customers in various verticals such as Healthcare, Automotive, Transportation, Logistics and Supply Chain, Mining etc. on Azure.

Innominds is looking for a data architect with Azure experience to provide design and engineering solutions to its customers

Job Functions

• Architect and design platform solutions to meet and exceed Innominds customer expectations
• Provide scalable data pipelines on Azure to source data from on-prem sources, real time sources and other streaming and batch sources including IoT devices
• Provide data processing and transformations design for scale using Microservices/ Micro data services and Functions
• Provide Cloud data warehousing solution with experience on Azure SQL Datawarehouse or equivalent such as Snowflake
• Architect data virtualization through Azure Synapse to create data lakes combining classic warehouses with Big Data
• Proactively evolve and apply DevSecOps methodologies, including the use of Azure containerization and Azure Kubernetes Services
• Provide IoT Management through Azure IoT Hub, Event Hub
• Design Azure ML, AI and Cognitive Services to scale
• Ensure re-use through consumption and expansion of shared platform technology assets
• Apply architectural standards/principles, global product-specific guidelines, security standards, usability design standards, as appropriate.

Required Experience:

• 5+ years overall IT industry experience
• 5+ years in a solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS and SaaS platforms including Azure
• 2+ years in a platform/product architecture/development role
• 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
• Creation of descriptive, predictive and prescriptive analytics solutions using Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Synapse, Azure IoT Hub
• Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, HDF, Nifi, Kafka, Storm, Sqoop, SSIS, AZCopy
• Enablement of data reuse through Data Catalog/Marketplace, Metadata, Search and Governance technologies such as including Azure Data Catalog, Apache Atlas, Apache Solr, Azure Search,
• Application of Information Architecture in large enterprise through use of industry standard modeling, mapping, management, metadata, lineage and quality standards and technologies including IDEF1X, DDL, DML, UML, ER/Studio, ERWin, MDM, IDQ,
• Multi-system data Integration using industry standards such as SOA, EAI, MoM, BPI and API using API Gateway, iPaaS and ESB technologies such as Azure API Management, Apache Knox, Boomi, Mulesoft,
• Visualization using technologies such as PowerBI, Tableau, Looker, Qlik
• IoT technologies such as IoT Hub, IoT Edge, Event Grid

Desired Experience:

• Experience with any of the following: Azure O365, Azure Stack, Azure AD
• Experience with any claims-based authentication (SAML/OAuth/OIDC), MFA, RBAC, or ABAC
• Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.
• Experience with resilient and highly available mission critical technology components
• Experience with multi-geo, multi-tier service design and operations
• Functional knowledge of programming scripting and data science languages such as C#, JavaScript, PowerShell, Python, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R, etc.
• CI/CD delivery using code management, configuration management and automation tools such as GitHub, VSTS, Ansible, DSC, Puppet, Ambari, Chef, Salt, Jenkins, Maven, etc.
• Application of AI, Cognitive and Data Science technologies such as Azure Machine Learning, Cognitive Services, Text Analytics API, Face API, Computer Vision API, Bot Service, Azure Notebooks, Anaconda, Jupyter, TensorFlow, R, Neural Networks, NLP, NLG, TTS, Watson, etc.
• Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc.

Location of Work:

• San Jose, California

Salary:

• $160,000 – $180,000/Yrs.+ Benefits

To contact or to apply please send resumes to Innominds Software Inc., 2055 Junction Avenue, Suite 122, San Jose, CA 95131 or Email: careers@innominds.com.