*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Enterprise Company is currently seeking an Enterprise Data Architect with Azure Cloud and MDM experience. Candidate will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Candidate will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption, as well as guide the data science team in implementing data models and analytics models. You will also serve as a data science architect delivering the technology and architecture services to the data science community.

Responsibilities:

Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities.

Qualifications

Strong cloud data architecture knowledge (preference for Microsoft Azure). Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus