Title: Sr. Data Architect 

Location: Cary, NC

Skills/Experience:

• Over 15 yrs of experience in data management 
• Proficiency in data analysis tools such as SQL, Python, R or similar
• Strong understanding of data governance , privacy regulations and data security.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Strategic thinking and problem -solving abilities to drive innovative data driven solutions
• Experience with Data Modeling and Data Democratization.
• A hands-on data strategist with expertise in data architecture using AZURE
• Experience with Data Modeling and Data Democratization.
• Multiple divisions/Verticals - working and establish relationship with wide variety of people and handle multiple organizational demands
• Hands on expertise in: Azure SQL Synapse, Cosmos DB, Data Factory, Event Hub, Python, Spark Scala, Spark streaming experience is a MUST 
• Building and Implementing data ingestion and curation process developed using Cloud data tools such as Azure SQL Synapse analytics, Cosmos DB, Data Factory, Spark (Scala/python), Data bricks, Delta Lake, Azure Cosmos search etc. 
• Near real time data process and handling ETL/data transformations on streaming data.
• Ingesting and curating huge volumes data from various platforms for Reporting, Analytics, Data Supply, and Transactional (Operational data store and APIs) needs.
• Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
• Strong expertise on spark Scala and python.
• Extensive experience on No SQL data bases and Cosmos SQL API optimizations for API consumptions
• Think outside the box to create re-usable frameworks to perform complex transformations, data quality, profiling that are metadata driven 
• Performance tuning and problem-solving skills is a must.
• Performance tuning on Azure SQL Synapse dedicated SQL Pool and server SQL Pools, Cosmos Mongo and SQL APIs loading and consumption optimizations.
• Collaborate with senior leadership to define the organization’s data strategy, aligning it with business objectives and grow targets
• Identify key data driven opportunities and challenges and formulate strategic plans to address them.
• Collaborate with cross functional teams including IT, analytics, marketing , operations and finance to ensure seamless execution of data strategies and initiatives.
• Act as a bridge between technical and non-technical teams translating business needs into data solutions
• Research and evaluate new data technologies ,tools and platforms that align with the organizations data strategy and objectives.
• Lead the implementation and integration of data solutions , working closely with IT teams and vendors.

Domain Expertise:

· A hands-on data strategist with expertise in data architecture

· Experience in building contemporary data consumption for digital API needs, predictive, prescriptive and descriptive needs.

· Experience in executing automation across various data management functions.

· Vision into data marketplace and where enterprises across are driving towards.

· Be able to convince senior leadership within business and technology partners on proposed solution and get buy in.

• Bachelor’s degree in data science, Business analytics, computer science.