Sales Solution Engineer supporting OEM partners in integrating IT security solutions into their offerings. Collaborating with teams to analyze customer needs and conduct technical presentations.
About the role
- Data Engineering Solutions Architect at Optimus SBR designing modern data solutions and collaborating with a high-performing team to transform data usage.
Responsibilities
- Analyze business and technical requirements to design scalable, efficient data architectures.
- Build logical and physical data models using industry-standard tools such as Erwin (or equivalent).
- Design high-quality Entity Relationship (ER) diagrams following best practices in normalization, naming conventions, metadata, and data governance.
- Reverse engineer existing databases and schemas into ERDs, ensuring accuracy, traceability, and clarity.
- Manage schema lifecycle and change control, including versioning, impact assessment, and controlled deployment across environments.
- Translate source system structures into consolidated, analytics-ready data models for data warehouses and marts.
- Design and build end-to-end data pipelines using both low-code/no-code and code-based tools, including SSIS, Azure Data Factory (ADF), Alteryx, Power Automate, and related technologies.
- Develop and optimize data ingestion, transformation, and integration workflows across diverse data sources.
- Implement ETL/ELT best practices to ensure reliability, accuracy, scalability, and performance.
- Support the creation of data warehouses, data marts, and reusable data assets for analytics, reporting, and visualization.
- Troubleshoot pipeline, performance, and data quality issues with a hands-on, solution-focused approach.
- Work with and design solutions across multiple database platforms, including SQL Server, Databricks, MySQL, PostgreSQL.
Requirements
- 5-7 years of relevant experience in data engineering, data architecture, or combined roles.
- Strong, hands-on experience with data modeling tools (e.g., Erwin) and ERD best practices.
- Demonstrated capability to reverse-engineer, deploy, and manage schema changes across environments.
- Advanced experience with SQL and SQL scripting across multiple RDBMS platforms.
- Proven ability to design and build ETL/ELT pipelines using tools such as SSIS, ADF, Alteryx, Power Automate, or similar.
- Experience converting OLTP systems into OLAP data warehouses and data marts.
- Knowledge of BI/reporting tools, visualization platforms, and their data consumption patterns (asset).
- Candidates with consulting experience will be given strong preference.
- Experience delivering technology or data projects in a client-facing consulting environment.
- Ability to manage stakeholder relationships, clarify complex requirements, and facilitate discussions between business and technical teams.
- Strong problem-solving skills with the ability to structure ambiguous challenges into actionable solution paths.
- Comfortable preparing and delivering presentations, architectural artifacts, and recommendations to clients and executive audiences.
- Experience supporting project scoping, estimation, and proposal development (asset).
- Self-directed, with the ability to thrive in a fast-paced, dynamic environment.
- Strong verbal, written, and presentation communication skills.
- Results-driven, with the ability to meet aggressive timelines and manage competing priorities.
- Innovative, dynamic, and entrepreneurial in approach.
- Strong work ethic, energy, enthusiasm, and commitment to professional growth.
- University degree in a related field.
Benefits
- Growth Opportunities: Build your career through challenging, impactful projects and continuous learning.
- Diverse Workplace: Collaborate with professionals from unique backgrounds, fostering innovation.
- Flexibility & Autonomy: Enjoy the freedom to take ownership of your work and drive meaningful results.
- Leadership Development: Develop your skills through mentorship and career-progression opportunities.
Job title
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