Oxalis Solutions LLC Solutions Consultant, Data Engineering Saint Louis, MO · Full time Company website

Apply for Solutions Consultant, Data Engineering

Key Responsibilities:

Data Platform Management & Optimization

• Design, develop, and maintain scalable ETL/ELT pipelines for integrating data from multiple sources.
• Optimize data storage, queries, and processing pipelines to ensure high performance and reliability.
• Support and maintain real-time and batch data processing solutions to meet diverse business needs.
• Transform raw data into structured formats optimized for analytics and reporting.

Data Governance & Security

• Implement and enforce data security best practices, including encryption, access controls, and audit logging.
• Work with technology teams to ensure secure data sharing and governance policies are met.
• Review and refine security protocols regularly to ensure compliance with evolving standards and regulations.
• Maintain data encryption, manage access control policies, and implement audit logging to ensure compliance with security standards.

Collaboration & Integration

• Partner with Enterprise Architects, data owners, and business leaders to align platform capabilities with business objectives.
• Enable secure and governed data sharing across departments by aligning platform capabilities with enterprise data strategy.
• Ensure accurate and efficient data flow across enterprise systems, creating robust integration workflows.
• Maintain comprehensive documentation of data processes, pipelines, and models for transparency, maintainability, and to ensure traceability for audit and compliance purposes.
• Work closely with application owners, SMEs, and architects to ensure alignment of platform design with enterprise data strategy.

Monitoring & Continuous Improvement

• Set up automated monitoring for data pipeline performance and reliability.
• Develop data validation rules to maintain high data quality and integrity.
• Provide performance and resource utilization reports to optimize scalability and efficiency.
• Perform ongoing platform health checks and implement enhancements to ensure system reliability and uptime.
• Troubleshoot data pipeline and infrastructure issues and implement fixes to maintain operational continuity.

Strategic Data Consulting

• Collaborate with business and IT stakeholders to align data platform capabilities with enterprise goals, including ITSM, Agile, and DevSecOps initiatives.
• Analyze data workflows and recommend improvements to enhance efficiency, compliance, and business value.
• Translate complex data engineering concepts into actionable insights for executive and non-technical audiences.

Training & Enablement

• Support user onboarding, training, and adoption of data tools and platforms.

Lifecycle Ownership

• Lead the full lifecycle of data solutions—from discovery and design through implementation, optimization, and support.

Business Development Support

• Identify opportunities to expand Oxalis’ data services through client engagement and collaboration with sales teams.

Qualifications:

Required

• 2–5 years of experience in data engineering, data platform management, and working with large datasets.
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Proficiency in modern data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
• Strong expertise in dimensional modeling, ETL/ELT development, and data transformation.
• Experience with version control tools like Git.
• Excellent problem-solving skills and ability to troubleshoot data integration issues.

Preferred

• Knowledge of workflow automation tools (e.g., Apache Airflow, dbt, Prefect).
• Strong proficiency in SQL and scripting languages (Python, Scala, or Java).
• Experience with streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).
• Understanding of data governance frameworks and best practices in data compliance.
• Passion for continuous learning and improvement, with a keen eye for performance optimization.
• Experience with Atlassian tools (Jira, Confluence, Jira Align) in data or DevOps contexts.
• Certifications in Agile, ITIL, SAFe, or PMP.
• Experience in customer-facing consulting or solution architecture roles.
• Demonstrated ability to drive measurable business outcomes through data initiatives.