Lead clients discussions going from defining the problem, Advising on the solution (Data Architecture, Best practices guidance) and supporting implementation.
•    Lead the design, development, and maintenance of efficient data pipelines.
•    Create robust data products that leverage cloud Data platforms such Azure Synapse, Snowflake and Databricks
•    Use cloud services to build scalable, reliable, and efficient data solutions.
•    Help translate data and analytics requirements into data solutions based on the approved technical designs. 
•    Define the technology stack, best practices, and standards for data engineering and analytics.
•    Enable test automation and ensure CI/CD pipelines are in good health. 
•    Implement monitoring of data applications and track product quality, performance, and stability. 
•    Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team.
•    Optimize and fine-tune data processing workflows for performance and reliability.
•    Identify and resolve issues within organizations and processes.
•    Educate clients and partners about the data analytics landscape.
•    Provide guidance on industry trends, emerging technologies, and best practices.
•    Lead a team of Data Engineers to thrive by promoting teamwork, providing guidance, and encouraging skill enhancement.

Must have requirements:
•    8-10 years of experience with strong understanding & familiarity with project management techniques
•    Established experience with project management programs, SCRUM, and different variants of AGILE techniques, along with familiarity with code management and Continuous Integration/Delivery Implementation (CI/DI).
•    Familiar with tools like JIRA, Trello, Azure Devops etc.
•    Managing outcome led technical programs and technical activities in accordance with the agreed project scope 
•    Experience in Data Transformation using ETL tools / cloud engineering (Azure, AWS, GCP)
•    Proficiency in developing code using SQL/HSQL
•    Experience in enterprise level database and data warehousing projects using SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc
Good to have:
•    Proficiency in Python development is a plus
•    Certifications like PMP is good to have
•    Experience in Financial Services is nice to have