Data Engineer

As a Senior Data Engineer, you will serve as a technical leader and mentor within cross‑functional project teams, taking ownership of complex data solutions and architectural decisions within your area of expertise. You will be responsible for designing and implementing high‑performance data systems, including pipelines, storage solutions, and processing frameworks, while mentoring junior and middle‑level colleagues and ensuring technical excellence through comprehensive code reviews and testing practices. In this role, you will contribute to data strategy discussions, lead implementation of critical data workflows, and bridge the gap between technical execution and business objectives while maintaining strong client relationships and supporting pre‑sales activities when needed. Key Accountabilities Technical Leadership & Engineering Excellence Lead design and implementation of features, including data processing workflows, with high attention to detail and quality standards. Contribute to architecture decisions within project scope and provide technical input for broader data strategy discussions. Establish and maintain engineering standards, best practices, and comprehensive testing strategies within development teams. Conduct thorough code reviews and drive adoption of peer review culture for continuous improvement. Lead troubleshooting of complex technical issues and provide innovative solutions to challenging problems. Drive performance optimization initiatives for data systems and ensure scalability considerations in technical implementations. Stay current with industry trends and evaluate new technologies for potential adoption within projects. Lead proof‑of‑concept development and technical risk assessment for new initiatives. Mentor and develop junior and middle‑level colleagues across different technical areas and specializations. Provide technical guidance, knowledge sharing, and support career progression of team members. Support technical hiring processes through candidate evaluation, interviewing, and technical assessment. Contribute to performance evaluation input and provide constructive feedback for team members. Develop and deliver technical training sessions to elevate team capabilities and foster a learning culture. Lead by example in adopting best practices including test‑driven development and automated testing approaches. Support team collaboration and knowledge transfer across different technical domains and projects. Project Execution & Delivery Take ownership of complex technical tasks and ensure timely, high‑quality delivery within project timelines. Provide accurate technical estimations and planning input for development tasks and project milestones. Coordinate technical dependencies and collaborate effectively across different organizational units. Contribute to agile development practices and ensure technical considerations are represented in sprint planning. Support release management activities and participate in deployment processes with comprehensive testing validation. Balance technical debt management with feature delivery to maintain sustainable development practices. Client & Stakeholder Engagement Participate in client interactions and technical discussions to understand requirements and provide solutions. Contribute to technical documentation, solution design, and clear communication of technical concepts to stakeholders. Support pre‑sales activities through technical expertise, solution demonstrations, and client consultations when needed. Assist in translating business requirements into technical specifications and implementation approaches. Provide technical input on project feasibility, resource requirements, and timeline estimations for stakeholder planning. Maintain professional relationships with clients and contributeterm client satisfaction through technical excellence. Business Adaptability & Professional Growth Demonstrate Technical Leadership: Lead technical initiatives with confidence, make informed decisions, and take ownership of complex technical challenges while mentoring others. Drive Adaptability & Continuous Growth: Seamlessly transition between different projects, technologies, and client requirements while continuously upskilling in emerging technologies. Execute Quality‑Focused Development: Apply analytical thinking with attention to detail, prioritize security and maintainability, and ensure comprehensive testing coverage in all deliverables. Practice Effective Communication: Communicate complex technical concepts clearly to stakeholders, collaborate effectively across teams, and uphold transparency and ethical standards. Knowledge and Experience At least 5 years of extensive experience in data engineering with at least 1 year in a senior‑level role. Comprehensive experience with Snowflake including data modeling, performance optimization, and security implementation. Strong proficiency in dbt development with proven experience building and deploying production‑grade data transformation pipelines. Strong proficiency in SQL and Snowflake‑specific features (time travel, zero‑copy cloning, secure data sharing). Experience with data orchestration tools – Omni preferred; Airflow, Dagster, or Prefect also acceptable. Python skills for data processing and automation (nice to have). Hands‑on experience with data warehouse design, optimization, and integration with analytical tools. Experience with data security best practices, access controls, and data protection mechanisms. Experience with data quality monitoring and performance monitoring solutions. Understanding of CI/CD processes for data transformations including testing and deployment strategies. Proficiency with Git version control systems including branching strategies and collaborative development practices. Excellent communication skills with ability to explain complex data concepts to stakeholders. Experience collaborating in agile development environments with cross‑functional teams. Strong problem‑solving abilities with capacity to work independently and make technical decisions. #J-18808-Ljbffr