Overview
Join our innovative team as a Databricks Data Architect and lead the design and implementation of scalable, high-performance data solutions using cutting-edge cloud technologies. In this role, you will be instrumental in shaping our data architecture, ensuring seamless integration across diverse data sources, and enabling advanced analytics to drive strategic decision-making. Your expertise will empower our organization to harness the full potential of big data, fostering a data-driven culture that accelerates business growth and innovation. This paid position offers a dynamic environment where your technical prowess and creative problem-solving will make a tangible impact.
Responsibilities
- Design and develop robust cloud-based data architectures utilizing Databricks, Azure Data Lake, AWS, and other cloud platforms to support enterprise-wide data initiatives.
- Lead the development of scalable data models, data warehousing solutions, and system designs that optimize performance, scalability, and security.
- Collaborate with cross-functional teams to define requirements for data integration, ETL processes, and master data management strategies using tools like Informatica and SQL.
- Implement best practices for big data processing with Spark, Hadoop, and NoSQL databases such as Microsoft SQL Server and Oracle to ensure efficient data analytics workflows.
- Conduct performance tuning and scalability assessments to enhance system efficiency for large-scale data modeling projects.
- Develop comprehensive documentation for system design, architecture standards, and data governance policies aligned with business intelligence needs.
- Stay current with emerging trends in cloud database architecture, linked data concepts, and analytics tools to continuously improve our data ecosystem.
Skills
- Extensive experience with cloud platforms such as Azure and AWS, including services like Azure Data Lake and cloud database architecture.
- Proficiency in programming languages including Java, Python, Bash (Unix shell), with a focus on developing scalable ETL pipelines and analytics solutions.
- Strong knowledge of NoSQL databases, Hadoop ecosystem components, Spark processing frameworks, and big data technologies.
- Expertise in data modeling projects, system design for system development, and designing efficient data warehousing solutions.
- Familiarity with master data management practices to ensure consistent and accurate enterprise-wide data assets.
- Proven ability to perform performance tuning for large datasets while maintaining system scalability and reliability.
- Experience working within Agile methodologies to deliver iterative improvements on complex analytics projects.
- Excellent understanding of business intelligence tools, linked data principles, SQL optimization techniques, and system design best practices for analytics environments.
Embark on this exciting journey as a Databricks Data Architect where your innovative mindset will shape the future of our enterprise data landscape!
Pay: $80.00 - $90.00 per hour
Work Location: Remote
