NO SPONSORSHIP

DATA ARCHITECTURE

SALARY: $161K - $200K plus 12% bonus

LOCATION: Remote except in: California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina

You will be developing data architecture plans for cloud data transformation, data governance, data quality, data standards. CRM MDM generative AI and data science Microsoft azure Real Time integration ETL data warehousing data catalog analytics BI operation datastores azure data bricks azure AD azure ML cloud era Spark sqoop Hive HDFS flume storm and kafka

This role 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. You will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption. You will also 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. In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states.

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
• Typically requires 17 years of relevant experience or a combination of related experience, education and training.