Data Solutions Engineer

About Higher Logic: 

Higher Logic exists to connect people, knowledge, and ideas to improve lives and organizations. Through our community solutions, we empower growth-stage businesses and associations to build a more engaged and meaningful relationship with their customers and members. Higher Logic serves more than 3,000 customers, representing over 350,000 online communities with greater than 200 million users in more than 42 countries worldwide. 

Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day. 

JOB SUMMARY

• Architect and build new data pipelines and lakehouse patterns to handle ~1 TB/day of streaming and batch data.
• Establish data governance and lineage foundations, designing systems that make data traceable from source through warehouse and back into our platforms.
• Build and optimize pipelines that power both analytics (Power BI) and operational workloads (e.g., marketing automation).
• Design performant warehouse schemas and ETL/ELT processes for analytical and reverse ETL use cases.
• Lead performance and cost optimization initiatives across Glue, Databricks, and S3.
• Implement data quality, documentation, and testing frameworks using dbt.
• Develop infrastructure as code using Terraform and automate deployments through GitHub Actions.
• Partner closely with analysts, platform teams, and business stakeholders to enable data visibility, traceability, and self-service analytics.
• Act as a senior member of the data team, setting best practices, mentoring others, and helping shape the data platform’s future.

• Data Sources: Postgres, MSSQL, AMS/CRM/LMS systems, event & behavioral data
• Ingestion & Storage: AWS S3, Kinesis (streaming), Glue
• Transformation & Modeling: Databricks (Delta Lake, Unity Catalog), dbt
• Orchestration & Infra: Terraform, GitHub Actions, AWS Step Functions / Lambda
• Consumption: Azure Power BI (Direct Lake/Unity Catalog queries into AWS)
• Governance: dbt for testing/docs; lineage tooling to be designed and implemented

• 5+ years of experience in data engineering, including architecting scalable data platforms in AWS.
• Deep hands-on experience with S3, Glue, Databricks, Postgres/MSSQL, and streaming pipelines.
• Strong background in data modeling, warehouse performance tuning, and ELT patterns.
• Demonstrated experience implementing data governance, quality frameworks, and ideally designing lineage systems.
• Proficiency with Terraform and CI/CD (GitHub Actions) for data infrastructure.
• Excellent communication skills — able to translate business needs into data architecture.
• Comfortable operating as a senior team member in a growing data org, influencing architecture and mentoring others.

• Experience with tools like OpenMetadata, DataHub, or Collibra for lineage and cataloging.
• Exposure to reverse ETL patterns and marketing automation platforms.
• Certifications in AWS Data, Databricks, or related fields.
• Experience in multi-tenant or high-scale SaaS environments.

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

You’ll earn: 

• Competitive compensation.
• Comprehensive health benefits package. 
• 401(k) plan with employer match. 
• Healthcare and dependent-care flexible spending account. 
• Company short-term and long-term disability insurance. 
• Company culture that recognizes its employees. 
• Room for growth and development and management that cares about your professional growth and will help you achieve your goals. 
• Significant advancement opportunities for outstanding performers.