- Ensures that industry-accepted data architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place.

- Drive the design, sizing, setup, etc. of Azure environments and related services.

- Provide mentoring on data architecture design and requirements to development and business teams.

- Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.

- Advising on new technology trends and possible adoption to maintain competitive advantage.

- Participate in pre-sales activities and publish thought leaderships.

- Work closely with the founders to drive the technology strategy for the organization.

- Help and lead technology team recruitments in various areas of data analytics.

Experience Needed :

- 8+ years of experience.

- Demonstrated experience delivering multiple data solutions.

- Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.

- Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HD Insights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.

- Demonstrated experience with different data models like normalized, denormalized, stars, and snowflake models.

- Worked with transactional, temporal, timeseries, and structured and unstructured data.

- Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience.

- Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

- Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).

- Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps Azure Automation).

- Has strong technical background and remains evergreen with technology and industry developments.

- Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up new languages and tech on the go.