Cloud Data Architect Lead
4 days ago
Job Description:
Eversana is seeking a Senior Cloud Data Architect to play a pivotal role in shaping and executing our cloud data strategy. As a visionary leader, you will be responsible for leading the development and delivery of data software products, managing the flow of work using Kanban and/or SAFe Agile methodologies, and designing and implementing data architecture solutions to support business objectives.
Key Responsibilities:
- Designing a scalable cloud data architecture to support the company's data strategies with minimal supervision
- Collaborating with cross-functional teams to define data requirements, identify opportunities for data-driven insights, and design and document comprehensive solutions
- Developing and maintaining artifacts and processes for the effective documentation and communication of development activities in the Enterprise Systems space
- Performing data analysis activities including data profiling, creation of data dictionaries, data transformation rules, and integration requirements
- Designing, delivering, and documenting multi-platform architecture with a focus on data architectural standards, growth, performance, flexibility, reliability, scalability, and security
- Identifying and implementing automated testing applications and processes for continuous regression testing
- Collaborating on CI/CD requirements and assisting with the team deployment process
- Defining data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data
- Migrating data from legacy systems to new solutions
- Recommending solutions to implement new and improve existing enterprise systems
- Working on data governance policies and architecting solutions to ensure data integrity, security, and compliance with regulatory standards
- Leading the design, development, and implementation of prototypes and new initiatives
Qualifications:
- Proven experience (6 to 8+ years) in cloud data architecture, with a focus on designing and implementing large-scale data solutions in public cloud environments
- Extensive knowledge of data modeling, ETL/ELT processes, data warehousing, and big data technologies
- Extensive knowledge of database technologies (e.g., Snowflake, MS-SQL, etc.) and proficiency in at least one programming language (e.g., Python, Java, Scala)
- Extensive experience working with Snowflake, Qlik replicate, DBT, and workflow management tools like Airflow
- Excellent communication and interpersonal skills, with the ability to effectively articulate technical concepts to both technical and non-technical stakeholders
- Experience working in an Agile environment and familiarity with DevOps practices is a plus
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