Sr. Data Engineer (Snowflake)

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious. For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake) - Full-time (FT)

Data Ideology is seeking a Sr. Snowflake Data Engineer to support our growing partnership with Snowflake in a hybrid pre-sales and delivery role. This is a client-facing, consultative position that bridges strategic technical planning with hands-on implementation. You will play a critical role in helping accelerate sales opportunities, build technical credibility, and deliver impactful data solutions across a variety of industries. This opportunity is ideal for mid-to-senior data professionals who have deep Snowflake experience, are motivated to grow their impact, and are looking to take the next step in their career.
The ideal candidate combines strong technical skills, cloud-native data platform experience, and the ability to collaborate directly with clients and cross-functional teams. The ideal candidate will also demonstrate leadership potential, ownership, and a passion for innovation.

Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• 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.

• 7+ years of experience in data engineering, data warehousing, or data architecture roles.
• 3+ years of hands-on Snowflake experience including advanced features such as performance tuning, access control, data sharing, Snowpark, or Snowpipe.
• Strong experience with SQL, Python, and DBT in production environments.
• Proficiency in cloud infrastructure such as AWS, Azure, or GCP and modern data tooling such as Airflow, Fivetran, Power BI, Looker, or Informatica.
• Demonstrated success in client-facing delivery roles or solution architecture in consulting or services environments.
• Deep understanding of cloud-native architectures, data modeling, and data pipeline orchestration.
• Experience with streaming data, unstructured data, or real-time analytics is a plus.
• Excellent verbal and written communication skills and the ability to present to both technical and executive stakeholders.
• Proven ability to influence client architecture decisions and lead data modernization initiatives.

• Excellent verbal and written communication skills, with the ability to tailor communication to both technical and executive audiences.
• Proven ability to influence architecture decisions, present solution strategies, and drive technical outcomes.
• Strong problem-solving mindset and a proactive, self-directed approach to delivery and growth.
• Demonstrated desire to grow into a higher-impact technical role, such as a lead engineer or architect, over time.

• SnowPro Core Certification (Required).
• One or more SnowPro Advanced Certifications such as Data Engineer, Architect, Snowpark, or Data Analyst.
• Additional cloud or data platform certifications such as AWS, Azure, dbt, or Databricks are a plus.

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

• Flexible Time Off Policy
• Eligibility for Health Benefits
• Retirement Plan with Company Match
• Training and Certification Reimbursement
• Utilization Based Incentive Program
• Commission Incentive Program
• Referral Bonuses
• Work from Home