Data Architect

We are seeking a dynamic and innovative Data Architect to lead the design, development, and management of our enterprise data systems. In this pivotal role, you will craft scalable, high-performance data architectures that empower our organization to harness the full potential of data analytics, Snowflake, AWS, business intelligence, and big data solutions. Your expertise will drive the creation of robust data models, optimize data warehousing strategies, and ensure seamless integration across diverse platforms and cloud environments. Join us to shape the future of data-driven decision-making and elevate our technological capabilities to new heights!, * Design and implement comprehensive cloud database architectures leveraging AWS, Azure Data Lake, and other cloud platforms to support scalable data solutions.

• Develop and maintain advanced data models for large-scale data warehousing projects, ensuring optimal performance and scalability.
• Lead system design for system development initiatives, including ETL processes using Informatica, SQL, Spark, Hadoop, and other big data tools.
• Collaborate with cross-functional teams to define master data management strategies that unify business-critical information across systems.
• Architect and optimize NoSQL databases such as Cassandra or MongoDB for flexible, high-speed data access.
• Conduct performance tuning and scalability assessments to enhance system efficiency in high-volume environments.
• Oversee the integration of linked data principles to enable semantic interoperability and richer analytics capabilities.
• Drive best practices in data modeling projects, ensuring consistency and accuracy in complex data ecosystems.
• Support business intelligence initiatives by designing systems that facilitate insightful analytics and reporting.
• Utilize cloud-native tools like Azure Data Lake and AWS services to streamline data ingestion, storage, processing, and analytics workflows., Join us as a Data Architect to lead transformative projects that harness the power of big data technologies-fuel your career with purpose-driven innovation!

• Proven experience designing enterprise-level data architectures with a strong focus on cloud database solutions such as AWS or Azure.
• Extensive knowledge of NoSQL databases (e.g., MongoDB, Cassandra) alongside traditional RDBMS like Microsoft SQL Server and Oracle.
• Hands-on expertise with big data frameworks including Spark, Hadoop, and related tools for large-scale data processing.
• Demonstrated success managing complex data modeling projects with a focus on scalability, performance tuning, and system integration.
• Familiarity with ETL tools such as Informatica or equivalent for efficient data extraction, transformation, and loading processes.
• Strong background in system design for system development (SDSD), emphasizing modularity and maintainability in large systems.
• Experience working within Agile development environments to deliver iterative improvements rapidly.
• Knowledge of linked data concepts and their application in enhancing analytics capabilities through semantic interoperability.
• Proficiency in programming languages such as Java, Python, Bash (Unix shell), supporting automation and custom development tasks.
• Ability to communicate complex technical concepts clearly across teams while maintaining a focus on innovative solutions that drive business value.

$70 - $75 an hour - Contract