DataLake Architect

• The DataLake Architect will be an integral part of the Innovation team.
• Core responsibilities will involve operating, managing, and monitoring the data lake infrastructure to enable efficient data storage, processing, and analysis.
• The DataLake Architect will determine core data storage and replication needs, build Extract Transform Load process and pipelines to applicable data stores.
• The DataLake Architect will utilize various on-prem and cloud systems to populate and manage the growing Azure & AWS Infrastructures.
• Data Bricks will be used for analytical processing within the DataLake.
• The DataLake Architect will be responsible for ensuring that data is available to support self-service analytics, and data automations from source systems to DataLake as programmed.

• Operate and maintain the data lake infrastructure, ensuring its reliability, scalability, and security.
• DOA Collaboration on Data Ingestion/ Storage Needs (Data from APIs, On Prem, Cloud, Legacy Systems).
• Design and develop data ingestion pipelines to efficiently collect and integrate data from various sources into the data lake.
• Monitor data lake performance metrics and identify opportunities for optimization.
• Optimize data processing workflows to enable efficient data retrieval and analysis.
• Design Initial Wireframes, Proof of Concepts, and Ideation of Data Lake Architecture and ETL Processes.
• Research methods and best practices in creating secure, monitored and reliable source of truth.
• Provide updates on work as accomplished.
• Ensure data policy adherence, row-level security, and ensure data privacy in produced data models and pipelines.
• Test for proper operation of newly deployed pipelines and data distributions.
• Assist in end-user training as determined.
• Document data lake infrastructure, processes, and workflows.
• The DataLake Architect will assist with new data pipeline initiatives that need direct design, creation, and deployment to production for divisional consumption.

• Utilize Azure, AWS Data Storage, with Data Bricks Analytical Platform.
• 3 years or more experience with Azure, AWS data warehousing.
• Must be able to discuss the requirements effectively with internal/external stakeholders.
• Understanding of Data Storage and Design Process of AIS.
• Able to create a story of business challenges, and how the Data Lake can solve.
• Able to create User Stories, and Divisional Personas of DOA.
• Able to research and recommend best practices for at scale digital data deployments and integrations.
• The contractor must be able to manage multiple tasks concurrently.
• Must be a self-starter & be able to use own judgment/initiative to undertake activities with minimal supervision.
• Must have excellent oral & written communications skills as well as the ability to work alone or within a team environment.
• Must be able to work collaboratively with others to achieve team & organizational goals; prioritize projects and/or tasks; provide constructive input to achieve team goals; deliver a customer-focused, responsive service to customers; support efforts to enhance business efficiency & effectiveness; demonstrate a positive, can-do attitude; respond constructively to new information, changing conditions, & unexpected obstacles.

Last updated on Oct 18, 2023