Principal Data Architect

The Enterprise Architecture team is focused on providing solutions to enable an effective software engineering workforce that can scale to the business needs. This includes exploring how the business needs map to the application portfolio, business processes, APIs, and data elements across the organization. As a member of this team, you will build up a vast knowledge in software development, cloud application engineering, automation, and container orchestration. Our ideal candidate values communication, learning, adaptability, creativity, and ingenuity. They also enjoy working on challenging technical issues and use creative, innovative techniques to develop and automate solutions. This team is focused on providing our executive and business leadership with visibility into how the software organization is functioning and what opportunities lie to transform the business. In this position you will be an integral part of the Enterprise Architecture team and make meaningful impacts in our journey towards digital transformation.

A Strong Data-Model and High-Quality Data are pre-requisites to provide better insights and enable solid data-driven decision making. This is also key to take advantage of various technological advances in Artificial Intelligence and Machine Learning. Your responsibilities will involve build out of data models for various aspects of our enterprise in conjunction with domain experts. Examples include but are not limited to Network, Capacity, Finance, Business Support Systems etc. Responsibilities also include working with software product teams to improve data quality across the organization.

• Bachelor's degree or higher in Computer Science & Applications, Computer Science and Computer & Systems Engineering, Computer Science & Engineering, Computer Science & Mathematics, Computer Science & Network Security and Math & Computer Science, and/or a related field
• Solid understanding of Data Architecture and Data Engineering principles
• Experience building out data models
• Experience performing data analysis and presenting data in easy to comprehend manner.
• Experience in working with Relational Databases, NoSQL, Large Scale Data technologies (Kafka, Big Query, Snowflake etc)

• Experience with digital transformation across multiple cloud platforms like AWS and GCP.
• Experience in modernizing data platforms especially in GCP is highly preferred.

• Partner with members of Data Platform team and others to build out Data Catalog and map to the data model
• Detail Oriented to ensure that the catalog represents quality data
• Solid communication skills and ability to work on a distributed team
• Tenacity to remain focused on the mission and overcome obstacles
• Ability to perform hands-on work with development teams and guide them to building necessary data models.
• Experience setting up governance structure and changing the organization culture by influence

• Experience with Cloud Technologies: AWS, GCP, and/or Azure, etc.
• Expertise in GCP data services like Cloud Pub/Sub, Dataproc, Dataflow, BigQuery, and related technologies preferred.
• Experience with Airflow, DBT and SQL.
• Experience with Open-source software like Logstash, ELK stack, Telegraf, Prometheus and OpenTelemetry is a plus.
• Passionate to deliver solutions that improve developer experience and promote API-first principles and microservices architecture.
• Experience with Enterprise Architecture and related principles