Senior Data Architect
Role details
Job location
Tech stack
Job description
We are seeking a dynamic and highly skilled Senior Data Architect to lead the design, development, and management of our enterprise data infrastructure. In this pivotal role, you will drive the strategic vision for data architecture, ensuring robust, scalable, and innovative solutions that empower data-driven decision-making across the organization. Your expertise will shape how data is collected, stored, integrated, and utilized, fostering a culture of analytics excellence and technological advancement. If you thrive in a fast-paced environment and are passionate about building cutting-edge data ecosystems, this is your opportunity to make a significant impact!, * Lead the design and implementation of comprehensive data architectures that support current and future business needs, emphasizing scalability and performance.
- Develop and maintain data models, database designs, and data warehousing solutions utilizing technologies such as Microsoft SQL Server, Oracle, Hadoop, Spark, and Big Data frameworks.
- Architect and oversee the deployment of NoSQL databases like Cassandra or MongoDB to handle unstructured or semi-structured data efficiently.
- Collaborate with cross-functional teams to define data requirements and translate them into technical specifications aligned with Agile methodologies.
- Implement ETL (Extract, Transform, Load) processes using tools like Informatica and develop automated workflows for seamless data integration across platforms including Azure Data Lake and AWS services.
- Ensure adherence to best practices in database design, data governance, security standards, and compliance regulations.
- Optimize data pipelines using programming languages such as Java, Python, Bash (Unix shell), ensuring high performance in processing large-scale datasets.
- Leverage cloud platforms like Azure and AWS to build resilient data lakes and analytics environments that support advanced analytics initiatives.
- Drive innovation by integrating Linked Data principles for semantic interoperability and enhancing data discoverability across systems.
- Support analytics teams by providing reliable access to clean, well-modeled data for reporting, visualization, machine learning models, and business intelligence tools.
Requirements
Do you have experience in Spark?, * Extensive experience with NoSQL databases such as MongoDB or Cassandra along with traditional relational databases like Microsoft SQL Server and Oracle.
- Strong proficiency in cloud platforms including AWS (Amazon Web Services) and Azure (Microsoft's cloud platform), especially in deploying Data Lake solutions.
- Deep understanding of Big Data technologies such as Hadoop ecosystem components (HDFS), Spark for distributed processing, and related tools for scalable analytics.
- Proven expertise in designing scalable Data Warehouses and implementing ETL pipelines using Informatica or similar tools.
- Solid knowledge of SQL programming for complex querying and database management; familiarity with SQL optimization techniques.
- Experience with Data Modeling principles to create efficient schemas supporting analytical workloads.
- Familiarity with Agile development methodologies to facilitate iterative project delivery in fast-changing environments.
- Ability to work with diverse programming languages including Java, Python, Bash (Unix shell scripting), supporting automation and custom integrations.
- Knowledge of Linked Data concepts for semantic web applications; experience integrating heterogeneous datasets for unified access.
- Strong analytical skills combined with excellent communication abilities to translate technical concepts into business insights. Join us as a Senior Data Architect to shape our future through innovative data solutions!
Benefits & conditions
3.63.6 out of 5 stars Glendale, AZ 85301 $110,000 - $120,000 a year - Temporary, Temp-to-hire