Senior Data Engineer

Our Client, an IT Services and Consulting company, is looking for a Senior Data Engineer for their Blaine, MN/Hybrid location.

Responsibilities:

• Design robust enterprise data models that align with business capabilities and support scalable analytics while ensuring consistent data definitions across domains.
• Develop optimized data pipelines using Data Build Tool to transform raw data into curated datasets that are reliable, reusable and easy to maintain.
• Implement Snowflake based data solutions that leverage features such as virtual warehouses cloning and micro partitioning to deliver high performance and cost efficient workloads.
• Collaborate with product owners analysts and engineering teams to translate business requirements into logical and physical data models that meet evolving needs.
• Define standards for naming conventions modeling patterns and documentation so that data assets remain understandable discoverable and reusable across the organization.
• Review and refine existing data architectures identifying bottlenecks technical debt and improvement opportunities to enhance stability and performance.
• Establish robust testing and validation practices for Data Build Tool projects ensuring data transformations are accurate reproducible and aligned with governance policies.
• Coordinate with infrastructure and platform teams to configure Snowflake environments for optimal security access control and workload isolation.
• Guide adoption of best practices for data versioning deployment and monitoring so that changes to models and pipelines can be delivered safely and predictably.
• Prepare high quality architectural diagrams data flow views and design documents that clearly communicate current and target state solutions to technical and non technical stakeholders.
• Engage with cross functional teams in a hybrid model participating in workshops onsite sessions and virtual collaboration to support regional and global initiatives.
• Partner with governance and compliance teams to embed privacy by design and ethical data use principles into data models and transformations.
• Participate in limited travel as needed to coordinate with distributed teams clients or partner organizations ensuring alignment on architecture and implementation.
• Drive continuous improvement by evaluating emerging data engineering tools patterns and cloud capabilities that can enhance performance and reduce operational overhead.
• Provide mentorship to less experienced data professionals helping them grow proficiency in data modeling Data Build Tool and Snowflake through design reviews and knowledge sharing.
• Align data architecture decisions with organizational sustainability and social impact goals ensuring that solutions support responsible insights and equitable outcomes.

Requirements:

• Possess extensive experience in conceptual logical and physical data modeling including normalization dimensional modeling and data vault approaches tailored to analytics use cases.
• Demonstrate advanced proficiency with Data Build Tool including project structuring modular modeling configuration of environments and integration with version control and CI processes.
• Exhibit strong hands on experience with Snowflake encompassing schema design query optimization resource management security configuration and cost monitoring.
• Show proven background in data warehousing ETL and ELT patterns including batch and near real time ingestion within complex enterprise ecosystems.
• Bring solid understanding of SQL performance tuning data quality frameworks and observability practices to ensure reliable and trustworthy datasets.
• Apply knowledge of cloud platforms such as major hyperscale providers to design resilient secure and scalable data architectures integrated with Snowflake.
• Communicate clearly with technical and non technical audiences using concise documentation and presentations that support informed decision making.
• Display experience working in hybrid work environments and collaborating with distributed teams while being willing to travel when project needs require onsite engagement.
• Years of Experience: 10.00+ Years of Experience

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities