Sr. Data Engineer

CirrusLabs Job OpportunityWe are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners, and community. Our goal is to enable employees to dream, grow, and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values-driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry, and community.Essential Job FunctionsDesign data models for key program processes and data entities, ensuring integration with enterprise conceptual and physical data models using hackolade or any other modeling tools.Plan data architecture and design by leveraging Azure architectural frameworks, including CAF and Azure Well-Architected Framework, to align with solution concepts, strategy, and target audience.Implement a disciplined approach to managing data assets and convert architectural principles into scalable technology solutions.Build and maintain reliable, automated, and scalable ETL pipelines on Azure data platforms, supporting critical business functions and analytics, with a strong focus on Azure Databricks and Azure Onelake.Ensure regulatory compliance for data assets, including consumer privacy laws and data retention policies, using Azure Purview for data governance and cataloging.Resolve conflicts between data models, ensuring consistency with the enterprise model and alignment with data governance best practices.Partner with Data Owners and Data Stewards to design solutions that adhere to data management principles and best practices.Experience in implementing Master Data Management is a plus.Lead the design of data architecture across multiple domains and sub-domains within the Azure ecosystem.Coordinate new development activities to ensure they are consistent and well-integrated with the established Azure ecosystem data architecture.Review and approve data model designs, focusing on interoperability, analytics, and compliance with the portfolio information model.Required to draft reports and prepare presentations for senior leadership. These reports and presentations must be clear, concise, unambiguous, engaging, and convincing, which will demand exceptional communication skills.Who We Are Looking ForBachelor's degree (B.A. / B.S.) in Information Technology or Computer Science or related field or the equivalent combination of education and experience, Master of Science (M.S.) in Data Analytics, Computer Science or related quantitative field a plus.Must have had at least 5-7 years of working experience working in a data engineering department, as a Data Engineer or Sr/lead Data Engineer in a fast-paced environment and complex business setting.Proven ability to collaborate with formal and informal groups, prioritizing team needs and involving others in decision-making.Effective communication and teamwork skills, with the ability to work with cross-functional teams.Strong problem-solving and critical thinking abilities, with a focus on innovative cloud-based solutions.Advanced SQL skills, particularly T-SQL, with experience in relational database management on Azure SQL Database.Extensive experience in Python development, especially for data projects using Azure Databricks.Proficiency in ETL processes and pipeline orchestration using Azure Data Factory.Familiarity with version control systems and CI/CD tools, particularly Azure DevOps and GitHub Actions.Ability to interact with all management levels to assess business requirements and deliver stable, cost-effective technology solutions.Strong troubleshooting and problem-solving skills, with attention to detail and accuracy.Experience in partnering with technical and cross-functional teams to deploy machine learning models in production using Azure Client and Databricks.Experience with infrastructure a plus.