Journeyman Data Architect supporting Leidos' enterprise data and analytics program for the Department of War. Collaborating on solutions for data architecture, cloud environments, and governance.
About the role
- AI Engineer developing AI-driven analytics for trading at Deloitte. Focusing on scalable data pipelines and collaboration with traders for actionable insights.
Responsibilities
- Design and deliver AI-driven analytics for front-office use, including forecasting, seasonality, correlation, regression, and scenario modelling
- Build scalable, reusable data pipelines using Databricks (PySpark/Spark, Delta, Unity Catalog), optimizing performance, cost, and reliability
- Develop real-time and near real-time data solutions to support trading and reporting needs
- Translate complex trading problems into prototypes and MVPs, iterating rapidly based on feedback
- Partner closely with traders and analysts to understand requirements and communicate insights effectively
- Implement LLM and agent-based workflows (prompt engineering, orchestration, retrieval, tool usage, and guardrails)
- Perform statistical and econometric analysis on large-scale time-series datasets
- Productionize solutions with robust testing, observability, CI/CD pipelines, and documentation
- Enable reporting and data access via tools such as Power BI and similar platforms
Requirements
- Strong hands-on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
- Proven data engineering expertise (data ingestion, modelling, orchestration, performance tuning)
- Solid foundation in statistics, econometrics, or data science—particularly with market time-series data
- Experience building AI/ML and LLM-based solutions (prompting, retrieval, agent workflows)
- Proficiency in Python and modern data/ML tooling (e.g., MLflow, feature stores, vector databases)
- Familiarity with CI/CD, Terraform, and production-grade engineering practices
- Excellent communication and stakeholder management skills, with the ability to work directly with front-office users
Benefits
- Hybrid model with close collaboration alongside trading teams
- Fast-paced, iterative delivery: prototype quickly, refine with users, and scale to production
- Strong focus on engineering excellence, including automated testing, governance, and operational reliability
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Software Engineer developing backend services and data infrastructure for integrated products at Booz Allen. Collaborating with a small elite team to deliver reliable and scalable services.
AWS Streaming Data Engineer developing software and systems in a fast, agile environment. Utilizing experience with real - time data ingestion and processing systems across distributed environments.
Mid - level Data Engineer ensuring efficient data transformation and integration for data annotation projects. Collaborating with teams to optimize data quality and performance in pipeline operations.
Cloud Data Platform Administrator supporting deployment and operations of modern Enterprise Data Platform. Focus on AWS infrastructure, CI/CD integration, and secure cloud operations.
Data Engineer developing and maintaining data architecture for Business Intelligence platform. Collaborating with data analysts to build interactive dashboards and real - time insights.
Principal Data Architect at nbn defining and evolving enterprise data models for the digital future of Australia. Providing leadership in data governance and advanced analytics practices.
Mid/Senior Data Engineer building centralized data lake for Yassir. Collaborating on analytics projects and developing data processing pipelines.
Data Engineering Advisor creating data systems and pipelines for data management solutions. Collaborating with stakeholders and using analytics to solve business problems in the financial sector.
Senior Finance Data Architect responsible for shaping finance data strategy at Standard Life. Leading enterprise - level data architecture for regulatory reporting and strategic insights.