16 Sep
Enterprise Data Architect
Vacancy expired!
- Assess current state business processes and supporting technical architecture, while gathering and defining solution requirements.
- Collaborate with internal customers teams to implement processes, procedures, and technology that support newly engineered cloud data functions.
- Design, develop, and architect ETL frameworks and solutions for modern cloud platforms AWS, Azure, etc.
- Design data flow and processing pipelines for ingestion and analysis using contemporary tools.
- Lead teams in completing enterprise-scale cloud data and migration projects from a back end/data perspective.
- Organize work into presentations, outlining findings and recommendations for C-level executives.
- Contribute to the organization by developing and improving reusable methodologies and data/cloud solutions for operational efficiencies
- Take ownership of technical solutions from design and architecture perspectives
- Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution and adherence to architecture strategy.
- Work with Data Engineers, Data Analysts, and Software Engineers to develop efficient, flexible data models across source systems, operational data stores, and analytics data stores.
- Provide architectural direction to various teams and work streams, balancing the strategic approach within the agile framework
- Ensure data management processes align with Enterprise data models
- Work with business stakeholders to support the definition and implementation of necessary governance, change management, data stewardship and quality controls
- Reports directly to the V.P of Global Data
- 6+ years of experience in technology; 4+ years of experience in a technical architect capacity working with cloud and data technologies.
- Strong preference for candidates with internal customer facing experience technology solutions or management consulting.
- Must have proven experience leading data/cloud migration projects in either AWS or Azure environments.
- Comfortable scripting for automation using Python, PowerShell, Spark in Scala, etc.
- Proficient in cloud data warehousing platforms like Snowflake.
- Proficient with a variety of AWS (CloudForm Templates, EC2, S3) and Azure (Data Factory, Data Bricks) applications.
- Experience installing and configuring databases using automation tools like Ansible.
- Advanced SQL skills for use in trouble shooting data performance and quality issues.
- Expert knowledge of standard methodologies, concepts, best practices, and procedures that align to a cloud-based data environment.
- Complete understanding of visualization and full data layer architecture.
- Bonus experience: CI/CD, AWS Redshift, S3, JSON, NoSQL, Big Data, and AWS stack.
- Clear and effective communication of complex ideas and analysis
- Ability to work with little direction, self-directed
- Active learner, motivated to learn without guidance
- Solutions oriented attitude of customer service
- Critical thinking and creative problem solving
- Leadership by influence
- Strong written and verbal communication skills.
- Is effective and persuasive in both written and oral communication
Vacancy expired!