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Job Title:Data Architect
Location:should be able to come to Cary office periodically to do white board sessions with stakeholders and leadership)
Job Description :
• 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.
• Familiar with Data Modelling and Data Democratization.
• 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 organization's data strategy and objectives.
• Lead the implementation and integration of data solutions, working closely with IT teams and vendors.
• 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.
• Demonstrated leadership skills and the ability to work effectively.
• 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.
• 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 leading data modernization into cloud from legacy data platforms.
• 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
