Data Architect

Data Architect 

About the Job 
Tibersoft provides advanced analytics and real-time data pipelines that power the foodservice supply chain. We are seeking a Data Architect to design and evolve scalable, high-performance data systems in Oracle Cloud Infrastructure (OCI) and beyond. This is a strategic technical role responsible for defining architecture and guiding engineering across our entire data platform—from ingestion to analytics. 

This role is hands-on and deeply technical. You’ll work closely with data engineering, software development, product, and business teams to ensure our data architecture supports current and future business needs and build an AI-first engineering process for rapidly building new products. You will focus on building and optimizing real-time and batch data workflows in Oracle Cloud Infrastructure (OCI) and other cloud platforms. You’ll collaborate with cross-functional teams to deliver high-performance, governed data solutions that support analytics, AI-driven insights, and product innovation. 

Key Responsibilities 

• Design, develop, and evolve robust, scalable architectures for data lakes, data warehouses, data marts, and operational data stores in cloud environments, especially Oracle Cloud Infrastructure. 

• Design and optimize real-time and batch data pipelines using tools and technologies like Apache Airflow, dbt, Spark, Pentaho, PL/SQL, and/or Bash scripting. 

• Architect, develop, and optimize parallel processing workflows for ingesting and transforming structured and unstructured data at scale. 

• Ensure data quality, validation, and governance across the pipeline lifecycle. 

• Deliver AI-driven data insights for the Food Service Industry and support AI-first engineering initiatives by integrating AI/ML models into data workflows and accelerating delivery using tools like Copilot, n8n, and Cursor.AI. 

• Establish data standards, policies, and frameworks to ensure data security, compliance, and operational resilience. 

• Work closely with product and analytics teams to understand business needs and translate them into technical solutions. 

• Monitor and optimize pipeline performance, reliability, and scalability. 

• Contribute to the development of data standards, documentation, and best practices. 

• Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement. 

What We’re Looking For 

• Proven Expertise: 7+ years in data architecture or senior-level data engineering roles, with strong experience in OCI and enterprise-scale data systems. Proven experience leveraging AI to rapidly deliver architecture, data pipelines, applications, and infrastructure. 

• Hands-On Technical Skills: Deep knowledge of PL/SQL, Bash scripting, Apache Airflow, dbt, Pentaho, or similar tools, performance optimization, and parallel data processing. 

• Cloud-Native Mindset: Experience building scalable, cloud-first data platforms and pipelines (OCI preferred, AWS/Azure also relevant). 

• AI Integration: Familiarity with supporting and/or integrating AI/ML models into data workflows and leveraging AI tools to accelerate engineering. 

• Governance Focus: Strong understanding of data validation, auditing, metadata management, and governance best practices. 

• Tool Flexibility: Comfortable working with diverse data formats (CSV, JSON, APIs) and relational and NoSQL databases (Oracle, 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. 

Preferred Qualifications 

• Experience in supply chain, analytics platforms, or foodservice data domains. 

• Background in building self-service data platforms or data product models. 

• Knowledge of data security and compliance frameworks.