
Senior Cloud Data Architect
Há 4 dias
This is a strategic technical role responsible for defining architecture and guiding engineering across the entire data platform from ingestion to analytics.
- Design and evolve robust scalable architectures for data lakes data warehouses data marts and operational data stores in cloud environments especially Oracle Cloud Infrastructure.
- Develop and optimize real-time and batch data pipelines using tools like Apache Airflow Pentaho PL/SQL and Bash scripting.
- Architect and implement parallel processing workflows to support high-volume ingestion and transformation of structured and unstructured data.
- Deliver AI-driven data insights for the Food Service Industry and leverage AI tools to increase the rate of delivery for engineering projects.
- Ensure data quality and governance across the entire pipeline lifecycle including validation auditing and reconciliation.
- Collaborate with business stakeholders to translate functional and non-functional requirements into technical data architecture solutions.
- Lead and mentor data engineers and cross-functional teams in best practices for data modeling pipeline design and cloud infrastructure optimization.
- Establish data standards policies and frameworks to ensure data security compliance and operational resilience.
- Optimize ETL processes for performance and scalability across diverse data domains.
- Proven Expertise: 7+ years in data architecture or senior-level data engineering roles with strong experience in OCI and enterprise-scale data systems.
- Hands-On Technical Skill: Deep knowledge of PL/SQL Bash scripting parallel data processing AI/ML modeling and performance optimization in a cloud environment.
- Cloud-Native Thinking: Strong experience designing scalable systems and cloud-first data platforms (OCI preferred; AWS/Azure also relevant).
- Pipeline Mastery: Skilled in building and maintaining modern ETL/ELT pipelines real-time data flows and orchestration with Apache Airflow or similar.
- Governance & Validation: Strong grasp of data quality data validation metadata management and governance best practices.
- Tool Agnostic: Comfortable working with multiple tools platforms and formats CSV JSON APIs Pentaho Oracle or other relational and NoSQL databases like MySQL Postgres MongoDB Cosmos DB etc.
- Business Alignment: Ability to understand the needs of business and analytics teams and deliver high-performing data architectures to meet those needs.
- Team Leader: Excellent communication collaboration and mentoring skills experience leading cross-functional efforts and mentoring engineers.
- The opportunity to contribute to a leading company driving data innovation in the foodservice industry.
- A fully remote position with a structured schedule that supports work-life balance.
- Two weeks of paid vacation per year.
- 10 paid days for local holidays.
Please note that our partner is only looking for full-time dedicated team members who are eager to fully integrate within their team.
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