Data Architect

As a dynamic leader in the industry, Leader Momentum takes pride in its dedication to environmental responsibility and creating value through quality, integrity, and customer-centered practices.

We are seeking an experienced Data Architect to enhance our IT team's capabilities in integration, analytics, and automation. This pivotal role involves designing and implementing systems integrations and data solutions that directly support our company's growth objectives. The ideal candidate will have substantial experience working independently and collaboratively in small teams, with strong technical expertise in data engineering and the ability to align technical solutions with business needs.

Key Responsibilities:

• Integration Architecture: Actively participate in designing, building, and maintaining integration architecture principles, standards, and best practices.
• Technical Evaluation and Recommendation: Participate in the technical evaluation and recommendation of integration platforms and tools.
• Systems Integration Operations: Monitor, support, troubleshoot, and enhance existing systems integrations using Transact-SQL (T-SQL) to optimize complex database operations, improve performance, and enable analytics needs.
• API Development and Maintenance: Design, build, and maintain APIs to enable data integration and access across multiple systems and applications.
• Data Pipelines: Design, set up, and maintain data pipelines; monitor and ensure their performance and health.
• Data Management: Design and manage relational databases, implement validation techniques to ensure data accessibility, integrity, accuracy, and consistency, and support analytics initiatives to drive business insights and decision-making.
• Security Compliance: Ensure security practices are followed and comply with regulatory standards and policies.
• Collaboration: Collaborate with data leaders and multi-discipline teams to design, develop, and ensure critical data and integration solutions.

Skills:

• Proficiency in T-SQL skills, including performance tuning.
• Extensive experience with APIs (REST and GraphQL) management and market-leading iPaaS.
• Proven success with Microsoft SQL Server, MS Integration Services, Azure Data Factory, Data Lake, and Data Bricks.
• Strong experience with integration of cloud services with on-premises technologies.
• Strong Python scripting experience.
• Proven experience in developing/maintaining robust and scalable big data solutions and various data infrastructures from relational databases to column-oriented databases and unstructured data sources.
• Excellent communication skills, both verbal and written, with the ability to influence and demonstrate confidence in communications with senior-level management.
• Proven track record of leading and mentoring data teams.
• Strong change manager, comfortable with change, especially that which arises through company growth, able to lead a team effectively through times of change.
• Ability to understand and translate business requirements into data and technical requirements.

Qualifications:

• Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Applied Mathematics, or a technical field.
• Experience: 5+ years of experience as a Data Engineer, API Developer, or similar role.
• Preferred:
• Certifications: Relevant Azure Data Engineer and SQL Server certifications are desirable.
• Big Data Tools: Familiarity with tools like Azure Data Explorer and Azure Synapse.
• Experience with Reporting Tools: Knowledge of reporting tools like Power BI or Tableau.
• CDATA Tools Experience: Proficiency with CDATA tools for data integration, connectivity, and transformation across various data sources.