Fivetran
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data‑driven.
About the Role As a Principal Solution Architect in Fivetran Professional Services, you will guide our most strategic, complex, and high‑impact customer engagements across modern data ecosystems—focus on Data Lakes, Transformations, and extended Modern Data Architectures. You will serve as a technical thought leader, mentor architects, and influence product and delivery evolution. This is a full‑time, remote position in the U.S.
Responsibilities
Lead Enterprise Architectures: Design and deliver complex, enterprise‑grade data integration and transformation architectures across cloud, hybrid, and on‑prem environments.
Drive Customer Success: Partner with senior customer stakeholders to define business objectives, translate them into scalable technical designs, and drive measurable business value.
Scale the Field: Develop and maintain reference architectures, delivery frameworks, and internal training assets that uplift the PS organization and enable efficient scaling.
Mentor & Guide: Serve as a mentor and coach to architects and consultants, uplifting team skills in advanced data replication, hybrid deployments, and lakehouse integrations.
Engage Cross‑Functionally: Partner with Product and Engineering to influence roadmap decisions, and guide enterprise customers through the rollout of new features and deployment models.
Thought Leadership: Represent Fivetran in customer workshops, partner discussions, and executive briefings—contributing to our industry presence as a strategic advisor.
Innovation & AI Readiness: Lead engagements that help customers prepare for AI workloads (LLMs, ML pipelines), advising on best practices for data quality, lineage, and compliance.
Customer Enablement: Produce enablement assets and lead sessions that help customers adopt new architectures confidently—ensuring long‑term success and self‑sufficiency.
Technologies You’ll Use
Fivetran Data Integration Products: Including SaaS Connectors, HVR, and Customer‑Managed (formerly “Hybrid Deployment”) options
Databases (Source & Target Systems): Relational and enterprise systems: Oracle, SAP HANA, Microsoft SQL Server, IBM Db2, MySQL, PostgreSQL
Cloud Data Warehouses & Lakehouses: Snowflake, BigQuery, Amazon Redshift, Databricks
Cloud Object Storage & Data Lakes: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS); Modern open table formats: Apache Iceberg, Delta Lake
Cloud Platforms & Infrastructure: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure
Operating Systems: Linux and Unix‑based systems, Windows Server environments
Containerization & Orchestration: Docker, Podman, Kubernetes, Helm
Modern Data Transformation, Orchestration, and Activation: dbt, SQLMesh, Apache Airflow, Prefect, Census
Developer, Scripting & Infrastructure Tools: Git, REST APIs, Python, Bash, PowerShell; Infrastructure as Code: Terraform; CI/CD tooling experience is a plus
Security, Secrets & Governance (Optional but Valued): Vault, AWS KMS, and enterprise IAM integrations (optional, relevant for sensitive deployments)
Skills We’re Looking For
12+ years of progressive experience in enterprise data architecture, solution engineering, or consulting leadership, with specialization in modern data integration platforms, data lakes, transformation pipelines, and large‑scale implementation programs.
Deep technical fluency with the modern data stack, including data ingestion tools, cloud data warehouses (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, dbt, SQLMesh, Prefect), and observability or metadata catalog solutions.
Demonstrated expertise in enterprise replication from transactional databases (e.g., Oracle, SQL Server, DB2, SAP) into analytical or data lake platforms—experience designing and tuning log‑based replication, schema mapping, and network/security controls within customer‑managed environments.
Practical implementation experience with open table formats like Delta Lake or Apache Iceberg, including schema evolution, time travel, compaction strategies, file pruning, and optimization for cost‑effective, high‑performance analytics.
Strong command of containerized environments, Linux‑based deployments, and infrastructure orchestration (Docker, Kubernetes, Vault, KMS), particularly in customer‑managed deployment architectures.
Proven ability to architect solutions at scale—leading end‑to‑end design for large enterprise clients, optimizing ingestion and transformation flows, driving data governance alignment, and ensuring platform reliability and scalability.
Highly proficient in SQL and scripting languages such as Python, Bash, or PowerShell—building automation frameworks, troubleshooting deployments, and guiding teams in operational hand‑offs and best practices.
Experience producing internal frameworks, reusable assets, and technical enablement collateral for onboarding, delivery excellence, and team‑wide knowledge sharing.
Demonstrated leadership in cross‑functional collaboration—working with Sales, Product, Customer Success, and Engineering stakeholders to influence roadmap priorities, surface customer feedback, and drive delivery quality.
Ability to engage executive stakeholders and technical sponsors to articulate architectural trade‑offs, business value, and ROI in complex enterprise environments.
Experience working with Fortune 500 or high‑growth enterprise customers, including those undergoing data modernization, cloud migration, or building AI/ML‑enabled pipelines on open lakehouse architectures.
Passion for mentoring solution architects, sharing architectural vision, and enabling delivery teams through direct coaching, scalable documentation, and strategic advisory input.
Compensation $196,560—$245,700 USD
Perks and Benefits
100% employer‑paid medical insurance
Generous paid time‑off policy (PTO), paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team‑building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as therapy, coaching, and self‑guided mindfulness exercises for all covered employees and their covered dependents
EEO Statement We are committed to ensuring all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience.
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About the Role As a Principal Solution Architect in Fivetran Professional Services, you will guide our most strategic, complex, and high‑impact customer engagements across modern data ecosystems—focus on Data Lakes, Transformations, and extended Modern Data Architectures. You will serve as a technical thought leader, mentor architects, and influence product and delivery evolution. This is a full‑time, remote position in the U.S.
Responsibilities
Lead Enterprise Architectures: Design and deliver complex, enterprise‑grade data integration and transformation architectures across cloud, hybrid, and on‑prem environments.
Drive Customer Success: Partner with senior customer stakeholders to define business objectives, translate them into scalable technical designs, and drive measurable business value.
Scale the Field: Develop and maintain reference architectures, delivery frameworks, and internal training assets that uplift the PS organization and enable efficient scaling.
Mentor & Guide: Serve as a mentor and coach to architects and consultants, uplifting team skills in advanced data replication, hybrid deployments, and lakehouse integrations.
Engage Cross‑Functionally: Partner with Product and Engineering to influence roadmap decisions, and guide enterprise customers through the rollout of new features and deployment models.
Thought Leadership: Represent Fivetran in customer workshops, partner discussions, and executive briefings—contributing to our industry presence as a strategic advisor.
Innovation & AI Readiness: Lead engagements that help customers prepare for AI workloads (LLMs, ML pipelines), advising on best practices for data quality, lineage, and compliance.
Customer Enablement: Produce enablement assets and lead sessions that help customers adopt new architectures confidently—ensuring long‑term success and self‑sufficiency.
Technologies You’ll Use
Fivetran Data Integration Products: Including SaaS Connectors, HVR, and Customer‑Managed (formerly “Hybrid Deployment”) options
Databases (Source & Target Systems): Relational and enterprise systems: Oracle, SAP HANA, Microsoft SQL Server, IBM Db2, MySQL, PostgreSQL
Cloud Data Warehouses & Lakehouses: Snowflake, BigQuery, Amazon Redshift, Databricks
Cloud Object Storage & Data Lakes: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS); Modern open table formats: Apache Iceberg, Delta Lake
Cloud Platforms & Infrastructure: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure
Operating Systems: Linux and Unix‑based systems, Windows Server environments
Containerization & Orchestration: Docker, Podman, Kubernetes, Helm
Modern Data Transformation, Orchestration, and Activation: dbt, SQLMesh, Apache Airflow, Prefect, Census
Developer, Scripting & Infrastructure Tools: Git, REST APIs, Python, Bash, PowerShell; Infrastructure as Code: Terraform; CI/CD tooling experience is a plus
Security, Secrets & Governance (Optional but Valued): Vault, AWS KMS, and enterprise IAM integrations (optional, relevant for sensitive deployments)
Skills We’re Looking For
12+ years of progressive experience in enterprise data architecture, solution engineering, or consulting leadership, with specialization in modern data integration platforms, data lakes, transformation pipelines, and large‑scale implementation programs.
Deep technical fluency with the modern data stack, including data ingestion tools, cloud data warehouses (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, dbt, SQLMesh, Prefect), and observability or metadata catalog solutions.
Demonstrated expertise in enterprise replication from transactional databases (e.g., Oracle, SQL Server, DB2, SAP) into analytical or data lake platforms—experience designing and tuning log‑based replication, schema mapping, and network/security controls within customer‑managed environments.
Practical implementation experience with open table formats like Delta Lake or Apache Iceberg, including schema evolution, time travel, compaction strategies, file pruning, and optimization for cost‑effective, high‑performance analytics.
Strong command of containerized environments, Linux‑based deployments, and infrastructure orchestration (Docker, Kubernetes, Vault, KMS), particularly in customer‑managed deployment architectures.
Proven ability to architect solutions at scale—leading end‑to‑end design for large enterprise clients, optimizing ingestion and transformation flows, driving data governance alignment, and ensuring platform reliability and scalability.
Highly proficient in SQL and scripting languages such as Python, Bash, or PowerShell—building automation frameworks, troubleshooting deployments, and guiding teams in operational hand‑offs and best practices.
Experience producing internal frameworks, reusable assets, and technical enablement collateral for onboarding, delivery excellence, and team‑wide knowledge sharing.
Demonstrated leadership in cross‑functional collaboration—working with Sales, Product, Customer Success, and Engineering stakeholders to influence roadmap priorities, surface customer feedback, and drive delivery quality.
Ability to engage executive stakeholders and technical sponsors to articulate architectural trade‑offs, business value, and ROI in complex enterprise environments.
Experience working with Fortune 500 or high‑growth enterprise customers, including those undergoing data modernization, cloud migration, or building AI/ML‑enabled pipelines on open lakehouse architectures.
Passion for mentoring solution architects, sharing architectural vision, and enabling delivery teams through direct coaching, scalable documentation, and strategic advisory input.
Compensation $196,560—$245,700 USD
Perks and Benefits
100% employer‑paid medical insurance
Generous paid time‑off policy (PTO), paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team‑building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as therapy, coaching, and self‑guided mindfulness exercises for all covered employees and their covered dependents
EEO Statement We are committed to ensuring all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience.
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