Knowledge, Skills and Abilities
10+ years of experience in data architecture, data engineering, or related roles with a proven track record of designing and implementing large-scale data solutions
3+ years of experience leading data teams or mentoring junior engineers/architects in a fast-paced, high-performance environment
Deep expertise in data modeling, data warehousing, and data lakes, with hands-on experience in ETL/ELT pipelines and data governance best practices
Proficiency in modern big data frameworks and tools such as Apache Spark, Apache Airflow, dbt, as well as familiarity with cloud-based data services (AWS, Azure, or GCP)
Strong understanding of distributed data processing concepts (batch and streaming), including performance optimization and cost management in cloud environments
Hands-on experience with SQL and at least one programming language (Python, Scala, Java) to build scalable data pipelines and transformations
Excellent interpersonal and communication skills, capable of articulating data architecture decisions and strategies to both technical and business stakeholders
Proactive, self-driven mindset with the ability to plan, prioritize, and execute on complex data initiatives independently
Strong analytical and problem-solving abilities, able to navigate ambiguous requirements and drive clarity in a dynamic environment
Strong Familiarity with CI/CD pipelines, Kubernetes, and infrastructure-as-code tools, ensuring data infrastructure is robust and easily maintainable
Key Responsibilities
Architect and maintain end-to-end data solutions, encompassing data ingestion, transformation, and storage across data lakes, data warehouses, and related big data technologies
Lead and mentor a team of data engineers and architects, providing technical guidance on data best practices, driving continuous improvement, and fostering professional growth
Collaborate with cross-functional teams (product owners, business analysts, application developers) to translate business requirements into scalable, high-performance data solutions
Design and implement robust data pipelines using tools like Spark, Airflow, and dbt, ensuring data quality, reliability, and availability for analytics and reporting
Oversee data architecture standards and governance practices, including data security, compliance, lineage, and metadata management
Evaluate and recommend emerging data technologies and frameworks, balancing strategic innovation with tactical feasibility to meet evolving business needs
Establish best practices and patterns for performance tuning, cost optimization, and operational excellence in cloud-based data environments
Work closely with stakeholders to define data strategies and roadmaps, aligning technical solutions with overarching business objectives and timelines
Establish approach for establishing semantic data model, governance and evolution including influence on integration and API strategies
Stay current on industry trends and advance the organization’s data capabilities by championing new methods, tools, and processes
Competencies
Delivery focus with a can-do attitude
Clear and engaging communicator
Ability to take ownership of decisions in a fast-paced environment
Collaborative and inclusive mindset
Key Relationships
Senior business stakeholders
Trading IT organisation – Product managers, delivery leads, business analysts, functional architects, technical architects, developers, QA and project managers
Data science, digital transformation and other teams who represent major data consumers
Department
Trafigura is committed to building and maintaining world class IT applications and infrastructure. The Trading IT group directly supports the Trafigura trading business, and this business has started a far-reaching programme to enhance and improve its trading applications using an innovative architecture to support business growth across the full range of business lines and geographies, and to enable the sharing of systems across different businesses. This programme is aimed at delivering functional capabilities, enhancements and technical infrastructure upgrades to enable continued business growth and enhanced profitability for the firm.
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.