Senior Solution Engineer

Domo; United States; Remote; USD 95,000 - 145,000; Full time

Job summary

A leading data solutions company is seeking a Senior Solutions Engineer to serve as a strategic technical advisor on modern cloud data platforms. You will leverage your expertise in Snowflake, Databricks, and BigQuery to design solutions that maximize customer value. The ideal candidate has over 5 years of experience in data engineering and strong SQL fluency, with a proven track record of collaborating in cloud data ecosystems.

Qualifications

• 5+ years of experience in data engineering, analytics, or solution architecture.
• Strong understanding of modern analytics architecture patterns.
• Experience with data ingestion and transformation pipelines.

Responsibilities

• Act as a subject matter expert in cloud data platforms.
• Collaborate with Cloud Data Platform partners in joint selling motions.
• Design and deliver tailored demos showcasing Domo.

Skills

Cloud data platforms expertise

SQL fluency

Data engineering experience

Communication skills

Analytical architecture knowledge

ETL/ELT processes

Data governance principles

Education

Bachelor’s degree in Information Systems or Computer Science

Tools

Snowflake

Databricks

BigQuery

dbt

Job description

Overview

Domo puts data to work to help everyone multiply their impact. Domo provides real-time insights and an AI-powered data experience that drives a culture of data curiosity.

POSITION SUMMARY

As a Senior Solutions Engineer, you will serve as a strategic technical advisor and subject matter expert in cloud data platforms, specifically Snowflake, Databricks, and BigQuery. You will lead the technical strategy and execution for customer opportunities that involve integrating Domo with modern cloud data ecosystems. You will leverage deep knowledge of data warehousing, lakehouse architecture, ELT/ETL processes, and the broader modern data stack to design end-to-end solutions that maximize customer value. You will collaborate with partner technical teams to co-sell, co-design, and co-deliver joint solutions that highlight Domo’s capabilities on top of the customer’s cloud data infrastructure. Your expertise will help differentiate Domo, accelerate deal cycles, and establish trust with customers and strategic partners.

Key Responsibilities

• Act as a subject matter expert in Snowflake, Databricks, and/or BigQuery to support integration, architecture design, and advanced customer use cases involving Domo on these platforms
• Collaborate with Cloud Data Platform partners (e.g., AEs and SEs at Snowflake, Databricks, or GCP) in joint selling motions, co-branded presentations, and solution alignment
• Architect Domo deployments that complement a customer’s cloud data ecosystem, emphasizing data ingestion, ELT strategies, data federation, and semantic modeling
• Design and deliver tailored demos and proofs-of-concept that showcase Domo’s interoperability with customer investments in Snowflake, Databricks, or BigQuery
• Bridge the knowledge gap for generalist SEs and AEs, providing enablement and mentoring on technical integrations with cloud data platforms
• Serve as a trusted advisor on modern data architecture topics, including data lakehouse, medallion architecture, open table formats, zero-copy cloning, streaming ingestion, and workload separation
• Influence product direction and partner integrations by providing feedback from the field on enterprise integration challenges or enhancement opportunities
• Evangelize best practices for analytics workflows across Domo and partner platforms using native connectors, JDBC/ODBC, API integrations, and external data shares
• Support partner enablement and field training initiatives, helping Cloud Platform teams understand Domo’s value proposition, architecture, and common integration patterns

Qualifications

• Bachelor’s degree in Information Systems, Computer Science or related discipline
• 5+ years of experience in data engineering, analytics, or solution architecture with deep exposure to at least one major cloud data platform (Snowflake, Databricks, or BigQuery)
• Strong understanding of modern analytics architecture patterns, including medallion or multi-hop models (Bronze/Silver/Gold)
• Data transformations with dbt or SQL-based frameworks
• Experience with Object Storage and Open Table Formats (Iceberg, Delta Lake, Hudi)
• Serverless compute and distributed query engines
• Strong SQL fluency across Snowflake, BigQuery, or Databricks SQL
• Experience with data ingestion and transformation pipelines (batch and streaming ETL/ELT), data pipeline orchestration, and metadata management
• Understanding of data governance principles, including data access policies, lineage, and catalog-based metadata management (e.g., Snowflake Horizon, Unity Catalog, Google Dataplex/Data Catalog)
• Ability to communicate clearly with both technical and non-technical stakeholders and translate architectural decisions into business value
• Highly driven with execution focus, self-directed, and resourceful
• Certifications in Snowflake, Databricks, GCP, or similar platforms are a strong plus (e.g., SnowPro Core/Advanced, Databricks Data Engineer Associate, Google Cloud Data Engineer)
• Hands-on experience integrating business intelligence tools with cloud data warehouses/lakehouses; prior work with Domo or similar platforms is a bonus

Application notes: To apply, please follow the standard application process. Domo is an equal opportunity employer. Voluntary self-identification information is requested for government reporting purposes and is confidential and voluntary.