
Jobtailor
Responsibilities
- Build fault tolerant design patterns that support zero to minimal downtime in support of distributed platforms
- Work with end users, stakeholders, executives, system administrators, and vendors to help deploy solutions from POC to Production
- Manage relationships with business and technology leaders and vendors for technical products
- Create the technology strategy for a respective technical domain, aligning execution with product strategy by working with Product Managers and other stakeholders
- Design and architect robust data warehouse solutions that support complex analytical workloads
- Lead the evaluation and selection of big data technologies, tools, and frameworks
- Develop data models, ETL processes, and data pipelines to ingest, transform, and load data efficiently
- Collaborate with cross-functional teams to gather requirements and translate them into architectural designs
- Ensure data quality, integrity, and security across all data platforms
- Optimize performance of existing data processes and warehouse architecture
- Mentor and guide junior architects and data engineers, promoting best practices in data architecture
- Stay current with industry trends and emerging technologies in big data and data warehousing
Requirements
- 5+ years of technical solutions experience including 3+ years in relevant enterprise data platforms and processing on Hadoop, Teradata, and Data Transformation Products
- Enterprise Business Intelligence and Analytics
- Varied data processing engines and strategies: Databricks, Snowflake, Big Query, Watson X, Starburst/Trino
- Experience in multiple programming disciplines including Java, Python, and Scripting Languages
- Deep understanding Virtualize and Containerized platforms: Openshift, Kubernetes, docker, VMware
- Understanding of storage and data replication platforms: CEPH, Cirata, Ozone, MinIO, Kudu, HDFS
- Understanding of Network and Security principals
- Understanding of Cloud architectures including IaaS, PaaS, SaaS, compute, storage, network, and security solutions that run on large Cloud service providers (Azure, Google, AWS)
- Ability to work independently and lead a project team
Core Competencies
Demonstrates expertise in designing and architecting robust data warehouse solutions, optimizing data processes, and implementing fault-tolerant design patterns. Proficient in leading cross-functional teams and managing relationships with stakeholders to align technology strategies with business objectives.
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