Data Ideology, LLC

Data Engineer

• Design and build scalable, secure, and cost-effective data architectures in Snowflake, aligned with industry and client best practices
• Implement data pipelines using ETL/ELT tools such as dbt, Python, CloverDX, and cloud-native services
• Conduct technical discovery sessions to understand client goals and translate them into architectural designs and project plans
• Collaborate with pre-sales and account teams to scope work, define solutions, and estimate effort for Statements of Work (SOWs)
• Serve as a Snowflake SME, providing guidance on performance tuning, cost optimization, access control, data sharing, and workload management
• Lead and execute data platform modernization and migration initiatives, moving clients from legacy systems to Snowflake-based solutions
• Integrate Snowflake environments with BI tools, data governance platforms, and AI/ML frameworks
• Contribute to internal IP, including templates, frameworks, accelerators, and proofs of concept (POCs)
• Support delivery engagements by implementing scalable solutions and continuously improving architectures based on business needs
• Mentor junior team members and contribute to ongoing knowledge sharing across the engineering team
• Hybrid pre-sales and delivery, client-facing consultative role

Senior Data Engineer, Snowflake

Director

Director, Data Strategy & Practice Lead to build, grow, and lead our Data Strategy practice.
Define the strategic direction of Data Ideology’s Data Strategy practice.
Own end-to-end delivery of client engagements, from discovery through execution.
Translate complex business needs into frameworks and actionable deliverables (data strategy, analytics roadmaps, governance models).
Publish blogs, whitepapers, and frameworks showcasing Data Ideology’s expertise.
Build methodologies, models, and best practices for repeatable, high-value client delivery.
Mentor and coach team members across disciplines.
Support proposals, presentations, and scoping of new client opportunities.

Director, Data Strategy

Data Ideology is seeking a Snowflake Data Engineer to support our growing partnership with Snowflake in a pre-sales and delivery hybrid role.
This position is a client-facing, consultative role that bridges the gap between technical strategy and practical implementation.
Design and build robust, scalable, and secure data architectures in Snowflake, aligned with industry and client best practices.
Implement ETL/ELT pipelines using tools such as DBT, Python, CloverDX, and cloud-native services.
Conduct technical discovery sessions and assessments to understand client requirements and translate them into solution designs.
Collaborate with pre-sales and account teams to scope work, define solutions, and estimate effort for Statements of Work (SOWs).
Serve as a Snowflake SME, advising on architecture, performance tuning, cost optimization, security, and workload design.
Partner with clients to modernize legacy data platforms and migrate to Snowflake-based data ecosystems.
Integrate with data visualization, governance, and AI/ML frameworks to support advanced analytics and business intelligence use cases.
Contribute to reusable assets such as templates, frameworks, reference architectures, and POCs.
Lead technical delivery for client engagements, supporting both implementation and ongoing solution refinement.
Mentor junior engineers and participate in internal knowledge-sharing and technical upskilling initiatives.
Remote work from home. Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Data Engineer, Snowflake

Engineer

• Configure, deploy, and maintain F5 BIG-IP LTM, DNS, Web Application Firewall, and manage TLS/SSL certificates.
• Perform network and application troubleshooting, monitoring, alert management, and packet capture analysis.
• Develop Visio diagrams, end-user guides, and other technical documentation.
• Utilize Azure security services, automation tools, and container ingress services to enhance delivery performance and security.
• Maintain current knowledge of security techniques and technologies to mitigate risk.
• Communicate root cause analysis and resolutions effectively to stakeholders.
• Work Environment: Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Senior Data Engineer, Snowflake

Director, Data Strategy

Data Engineer, Snowflake

Application Delivery Engineer