Cloud Data Architect
6 days ago
About Infinitive Inc.
We are a data and AI consultancy that enables our clients to modernize, monetize and operationalize their data to create lasting and substantial value. Our deep industry and technology expertise drives and sustains adoption of new capabilities, while matching our people and personalities to our clients' culture to achieve high return on investment.
We have been recognized as one of the best small firms to work for by Consulting Magazine six times, including in 2023. We have also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.
About the Role:
We are seeking a highly skilled Senior Cloud Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in cloud-based platforms, DevOps tools, and data modeling concepts.
Key Responsibilities:
- Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using cloud-based technologies like Databricks and other relevant tools.
- DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
- Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.
- Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.
- Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
- Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
- Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.
- Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.
What You'll Need:
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
- Proven experience as a Data Engineer, preferably in a cloud-based environment.
- Strong proficiency in Databricks for data processing and analytics.
- Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
- In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
- Proficiency in SQL and programming languages such as Python or Scala.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Estimated Salary Range: $120,000 - $180,000 per year, depending on experience and qualifications.
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