Jobgether seeks a highly experienced Enterprise Data Architect to shape the data and business intelligence strategy of a partner company. The ideal candidate will have extensive experience in architecting large-scale data warehouse implementations and designing high-performance solutions for analytical workloads. This role requires collaboration with cross-functional teams and a deep understanding of modern data architectures and dimensional modeling patterns.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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.
Accountabilities
- 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.
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- 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.
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- 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.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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