Lead Data Architect - Remote

Jobgether
3dRemote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Architect - REMOTE. In this pivotal role, you will shape the Enterprise Data and Business Intelligence strategy, impacting how our partner leverages data across various business functions. You will drive the optimization of their data ecosystem and design scalable solutions to foster innovation. The position requires extensive collaboration with cross-functional teams, ensuring that your architectural insights translate into actionable strategies that deliver measurable value. This role is ideal for someone seeking to make a significant impact while enjoying the flexibility of a remote work environment.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
  • 10+ years of experience in architecting Enterprise Data and BI solutions.
  • Proven experience in designing large-scale data warehouse implementations.
  • Ability to architect high-performance solutions for analytical workloads.
  • Expertise in modern data architectures and dimensional modeling patterns.
  • Proficiency in cloud data platforms and integration with diverse data sources.
  • Deep understanding of visualization and reporting platforms.
  • Ability to design conceptual, logical, and physical data models.
  • Experience with ORM technologies and building robust ETL/ELT pipelines.
  • Familiarity with data governance frameworks and data quality practices.

Responsibilities

  • Collaborate with Engineers and Architects to define the enterprise data architecture roadmap.
  • Drive the design and optimization of OLTP and OLAP models for scalability and performance.
  • Establish standards for data modeling, storage, and integration across systems.
  • Partner with stakeholders in developing a comprehensive data and BI strategy.
  • Define data governance practices and quality standards.
  • Lead proof-of-concepts for new data technologies.
  • Own the architectural review process for data-related projects.
  • Establish best practices for ORM usage and SQL optimization.
  • Evaluate AI/ML to enhance data-driven decision-making.
  • Stay updated with modern data engineering trends and big data platforms.

Benefits

  • Fully remote with a monthly stipend for office services and supplies.
  • Medical, dental, and vision insurance options with generous employer contributions.
  • 401(k) with company match and tuition reimbursement.
  • Open PTO, paid holidays, and various leave options.
  • Flexible work schedules and company closure during specific holidays.
  • Access to pet insurance and learning opportunities through company products.
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