Job Description

Job Description

Job Description

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

Snowflake Data Engineer - Full-time (FT)

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. You will play a critical role in supporting the channel partner manager to accelerate sales opportunities, drive technical credibility, and lead delivery engagements with our clients across various industries.

The ideal candidate combines deep Snowflake expertise, cloud-native data platform experience, and strong consultative skills. You will influence client architecture decisions, help scope and design solutions, and ensure successful delivery aligned to modern data and analytics best practices.

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 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.

Supervisory Responsibilities: None

Qualifications:
Education and Experience:

• 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.

Certifications:

• 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.

Work Environment:

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

Physical Demands:

• 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.

Benefits:

• 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

Data Ideology is an EEO Employer

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Job Tags

Full time, Work at office, Remote work, Work from home, Flexible hours, Monday to Friday,

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