Principal Data Architect

What is a Principal Data Architect @ Advantage Intelligence

A Principal Data Architect @ Advantage Intelligence is a senior level architect. The Principal Data Architect needs to understand the business needs, explores the existing data structure, and creates a blueprint for building an integrated framework of easily accessible, secure data aligned with Advantage business strategy. The Principal Data Architect works with other architects to define the processes involved in testing and maintaining the data solutions. Within Advantage Intelligence, a Principal Data Architect utilizes their training in analytics and various coding programs to analyze information and draw conclusions based on their findings.

Responsibilities for Principal Data Architect @ Advantage Intelligence

· Primary Responsibilities:

o Develop and implement an overall organizational data strategy that aligns with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems

o Manage end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution

o Ensure the security of all information and computer systems and digital data

o Ensure adherence to government regulations and guidelines for technological systems and safeguarding of the data

o Meet financial objectives by forecasting requirements, preparing budgets, scheduling expenditures, analyzing variances, and initiating corrective actions

· Secondary Responsibilities:

o Research and properly evaluate sources of information to determine possible limitations in reliability or usability

o Prepare detailed reports for management and other departments by analyzing and interpreting data

o Refer to previous instances and findings to determine the ideal method for gathering data

o Maintain domain knowledge by participating in educational opportunities, reading professional publications, and participating in professional organizations

o Coach and mentor engineering teams to raise collective technical expertise

Qualifications / Skills / Requirements

· Outstanding collaboration and communication skills are essential

· 5+ yrs. Experience working in a Distributed/Cloud-based environment (Azure or AWS or GCP)

· 5+ yrs. Experience building cloud scalable, real-time, and high-performance data lake solutions leveraging cloud-native data warehouse/lake, modern data stack (I.e., airflow), streaming technologies (Azure EventHub, Kafka, or AWS Kinesis), Snowflake experience is a strong plus

· 5+ yrs. Experience with modern build strategies, CICD, unit testing, static analysis, and automated integration tests, DevOps concepts and scripting

· 5+ yrs. Experience with reporting tools like Power BI, Tableau

· 5+ yrs. Experience with NoSQL databases

· 5+ yrs. Experience deploying Data as a service (DaaS) and containerization

· Solid data modeling and SQL skills with the ability to work with non-relational data stores

· Demonstrate a track record of leading within complex organizations requiring strong influence management skills - the ability to work cooperatively at all levels in a matrix environment

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