IT Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the creation and management of a suite of solutions in the areas of data, reporting, predictive intelligence, and data science.

• Offer architectural guidance and direction to data engineering teams.

• Convert business challenges, requests, and requirements into well-defined data solutions.

• Document the data platform to effectively illustrate and communicate how business capabilities are achieved or supported through technology and processes.

• Formulate strategies, roadmaps, principles, standards, and best practices for the data platform.

• Create Proof of Concepts (PoCs) as needed.

• Assist engineering teams in implementing strategies, roadmaps, principles, standards, and best practices for the data platform.

• Provide coaching, mentoring, and guidance to engineering and delivery teams.

• Evaluate industry, technology, and market trends to introduce best practice frameworks and capability models aimed at controlling costs, enhancing quality, and increasing the predictability of service delivery.

⛳️ Requirements

• Bachelor’s degree in Computer Science or a related field.

• Seven years of experience in an architectural role or a relevant combination of education and experience.

• A minimum of seven years of experience in data architecture or a similar technical field with significant design involvement.

• Comprehensive knowledge of data ecosystems, Big Data paradigms, Cloud Service Providers, business intelligence solutions, data integration patterns, typical data warehousing patterns, retrospective reporting, predictive analytics, and exploratory analytics frameworks.

• In-depth understanding of contemporary data and platform delivery practices across one or more recognized paradigms (data fabric, data mesh, data warehouse, data lake house, data lake, etc.).

• Expert-level knowledge across a wide array of data delivery and hosting platforms (RDBMS, NoSQL tools, data warehouses, data query tools, data visualization tools, persistent data models, integration platforms, etc.).

• Profound understanding of data engineering fundamentals, the implementation of modern data platforms, and data modeling characteristics.

• Familiarity with information management practices, system development life cycle management, IT service management, and one or more architectural frameworks.

• Strong expertise in AWS, Azure, GCP, Snowflake, or equivalent platforms.

• Knowledge of Master Data Management (Reltio, Informatica, or similar) is a plus.

🏝️ Benefits

• Start Day 1 for Full-Time Colleagues - No Waiting Period!

• Opportunities for professional and personal growth.

• Multiple pathways to advance your career.

• Access to training and development programs.

• Tuition reimbursement benefits for full-time colleagues.

• Comprehensive health benefits including Medical, Dental, Vision, Disability, and Life Insurance, plus more.

• 401(k) retirement plan with company-matching contributions.

• Vacation days and sick leave.

• Company-paid holidays and floating holidays.

• A company culture that emphasizes health, safety, and flexibility.