Data Bricks Architect

Role & Responsibilities

• 10 -18 years of relevant experience in architecting, designing, developing and delivering Data solutions both on premise and predominantly Azure Cloud Data & AI services.

• Batch, Real time and hybrid solutions with high velocity and large volumes. Experience with traditional big data framework like Hadoop will be beneficial.

• Experience in other cloud-based data solutions like AWS, GCP

• Architectural advisory for big data solutions with Azure and Microsoft technical stack
• Pre sales, account mining to find new opportunities and proposing right solutions to a given context
• Data warehousing concepts, dimensional modelling, tabular modelling, Start and Snowflake models, MDX/DAX etc.

• Strong technical knowledge including hands on most of, SQL, SQL Warehouse, Azure Data Factory, Azure Storage accounts, Data Lake, Data bricks, Azure Functions, Synapse, Stream Analytics, Power BI/Any other visualization

• Working with No SQL data bases like Cosmos DB
• Working with Various file formats, Storage types

• ETL and ELT based data orchestration for batch and real time data

• Strong Programming skills - experience and expertise in one of the following: Java, Python, Scala, C/.Net.
• Driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills.
• Experience of working on real time end to end projects using Agile/Waterfall methodology and associated tolls
• Understand the client scenario, derive or understand business requirements and propose the right data solutions architecture using both on premise and cloud-based services
• Create scalable and efficient data architecture that respects the data integrity, quality, security, reuse among other aspects which lays foundation for present and future scalable solutions
• Understand and communicate not only data and technical terms but also functional and business terms with the stake holders. Focus on the true business value delivery with efficient architecture and technical solutions.
• Have an opinion and advise the clients in the right path aligned with their business, data and technical strategies while aligning with market trends in the data & AI solutions
• Establish Data Architecture with modern data driven principles like Flexibility at scale, parallel and distributed processing, democratized data access that enables them to be more productive.
• Thought leadership to provide Point of views, ideate and deliver Webinars, be the custodian of the best practices.
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
• Maintain and upgrade technical skills, keeping up to date with market trends. Educate and guide both customers and fellow colleagues
• Expertise or knowledge in Visualization / Reporting like Qlik/Power BI/Tableau