Data Architect

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