Data Architect - Austin, United States - IDEA Public Schools

Mark Lane

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Mark Lane

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Description

Description
Data Architect

Software Development


Role Mission:
IDEA is currently undergoing a significant digital transformation initiative to modernize our data and analytics infrastructure.

As the new Data Architect, you will play a pivotal role in leading the architecture, design, and implementation of our next-generation data solutions.

In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP.

Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.

What You'll Do - Accountabilities


Essential Duties:

  • Design futurestate analytical architecture and cloud migration roadmap.
  • Lead platform evaluation and handson buildout of data infrastructure on cloud technologies.
  • Define and implement data integration, security, governance, and metadata retention strategies.
  • Implement methodologies and reuse strategies to enhance quality while optimizing development.
  • Define metadata strategy and lineage tracking capabilities.
  • Drive initiatives to improve system reliability, availability, and performance.
  • Lead cloud adoption while ensuring continuity of existing analytical initiatives.
  • Continuously monitor postimplementation architecture health, performance, and scalability.
  • Provide guidance to software engineering teams on design, scalability, and performance.
  • Maintain continuity of existing analytics and data engineering initiatives during transformation.
  • Improve architecture health, scalability, and efficiency as changes emerge.
  • Design and document the Logical Data Model and develop a Physical Data Model.
  • Create and execute Data Definition Language (DDL) statements for Snowflake and/or Delta Lake objects.
  • Lead the team in designing 3NF logical and physical models in Erwin.
  • Drive and build data model and architecture, implementing frameworks to ensure adherence to data architecture.
  • Reverse engineer and understand the existing SQL/processes.
  • Assist in developing data strategies for cloud data platform, master data management, metadata management, analytics, and data integration.
  • Provide deep expertise in databases, data modeling, data architecture, and operating systems.
  • Support endtoend data asset lifecycle management activities.
  • Design robust, scalable, realtime data pipelines and data platform architecture.
  • Lead the review and design of new data products, maintaining product documentation.
What You Bring - Competencies


Qualifications:

Education:


  • Bachelor's degree from fouryear college or university in Information Technology/Computer Science
  • 10+ years related work experience and/or training or equivalent combination of education and experience.

Licenses or Certifications:

  • Any Cloud Certifications (Azure, GCP, AWS)

Knowledge and Skills:
Required

  • 10+ years as a handson data engineering and 5+ technical data architect with 3+ years in cloud implementations.
  • Proven track record of driving largescale cloud data platform modernization initiatives.
  • Deep expertise with cloud services (e.g., AWS, Azure, GCP) and Data framework providers (e.g., Snowflake, Databricks).
  • Proficiency in designing scalable, faulttolerant, and secure solutions.
  • Ability to mentor developers, conduct code reviews, and lead design sessions.
  • Champion data modeling standards and best practices.
  • Knowledge of Data Warehousing, ETL, and BI architectures, concepts, and frameworks.
  • Strategic leader with the ability to compellingly communicate technology vision to executives.
  • Selfdriven technologist passionate about innovations in the data space.
  • Ability to work independently and contribute effectively in a fastpaced environment.
Preferred

  • Knowledge of Canonical data models like HEDA (Higher education data architecture).
  • 5 or more years' experience using Linux scripting (Python, Shell, etc.)
  • 5 or more years' experience in SQL development and/or NoSQL databases
  • 5 or more years' experience with cloudbased data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure)

What We Offer:

Compensation & Benefits:


Salaries for people entering this role typically fall between $81,800 and $95,800, commensurate with relevant experience and qualifications and in alignment with internal equity.

This role is also eligible for performance pay based on organizational performance and goal attainment.

  • IDEA may offer a relocation stipend to defray the cost of moving for this role, if applicable.

Application process:
Learn more about IDEA

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