Principal Data Architect

Position: Principal Data Architect

Seniority Level: Manager/Sr Manager

Salary Package: Best in the industry

Roles & Responsibility -

Your team

You will act as a key member of the consulting team helping Clients to re-invent their corporate finance

function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation skills are keys for this position.

Responsibilities:

• Design and drive end to end data and analytics solution architecture from concept to delivery
• Design, develop, and support conceptual/logical/physical data models for analytics

solutions.

• Ensures that industry-accepted data architecture principles, standards, guidelines and

concepts are integrated with those of allied disciplines and coordinated roll-outand

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 developmentand

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:

• Demonstrated experience delivering multiple data solutions
• Demonstrated experience with ETL development both on-premises and in the cloudusing

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, de- normalized,

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, VisualStudio, 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.