<p> </p><p> </p><p><strong><span data-contrast="none">About Higher Logic:</span></strong><span data-ccp-props="{"> </span></p><p><span data-contrast="none">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.</span><span data-ccp-props="{"> </span></p><p><span data-contrast="none">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.</span><span data-ccp-props="{"> </span></p><p><strong>JOB SUMMARY</strong></p><p></p><div class="p-rich_text_section">We’re looking for a <strong data-stringify-type="bold">Data Engineer / Data Architect</strong> to help design and build the next generation of our data platform. You’ll play a key role in architecting scalable, performant, and governed data systems that power analytics, marketing automation, and customer insights across thousands of clients.<br>Our environment spans <strong data-stringify-type="bold">AWS</strong>, <strong data-stringify-type="bold">Databricks</strong>, and <strong data-stringify-type="bold">Power BI</strong>, with data flowing continuously from multiple operational systems (AMS, CRM, LMS, events, behavioral streams) into a modern lakehouse architecture. If you thrive at the intersection of data engineering, architecture, and governance — this is the role for you.</div><div class="p-rich_text_section"> </div><div class="p-rich_text_section"><strong data-stringify-type="bold">What You’ll Do</strong></div><ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Architect and build</strong> new data pipelines and lakehouse patterns to handle <strong data-stringify-type="bold">~1 TB/day</strong> of streaming and batch data.</li><li data-stringify-indent="0" data-stringify-border="0">Establish <strong data-stringify-type="bold">data governance and lineage foundations</strong>, designing systems that make data <strong data-stringify-type="bold">traceable from source through warehouse and back</strong> into our platforms.</li><li data-stringify-indent="0" data-stringify-border="0">Build and optimize pipelines that power <strong data-stringify-type="bold">both analytics (Power BI)</strong> and <strong data-stringify-type="bold">operational workloads (e.g., marketing automation)</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Design performant <strong data-stringify-type="bold">warehouse schemas</strong> and ETL/ELT processes for analytical and reverse ETL use cases.</li><li data-stringify-indent="0" data-stringify-border="0">Lead <strong data-stringify-type="bold">performance and cost optimization</strong> initiatives across Glue, Databricks, and S3.</li><li data-stringify-indent="0" data-stringify-border="0">Implement <strong data-stringify-type="bold">data quality, documentation, and testing frameworks</strong> using <strong data-stringify-type="bold">dbt</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Develop infrastructure as code using <strong data-stringify-type="bold">Terraform</strong> and automate deployments through <strong data-stringify-type="bold">GitHub Actions</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Partner closely with analysts, platform teams, and business stakeholders to <strong data-stringify-type="bold">enable data visibility, traceability, and self-service analytics</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Act as a <strong data-stringify-type="bold">senior member of the data team</strong>, setting best practices, mentoring others, and helping shape the data platform’s future.</li></ul><div class="p-rich_text_section"><strong data-stringify-type="bold">Our Tech Stack</strong></div><ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Data Sources</strong>: Postgres, MSSQL, AMS/CRM/LMS systems, event & behavioral data</li><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Ingestion & Storage</strong>: AWS S3, Kinesis (streaming), Glue</li><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Transformation & Modeling</strong>: Databricks (Delta Lake, Unity Catalog), dbt</li><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Orchestration & Infra</strong>: Terraform, GitHub Actions, AWS Step Functions / Lambda</li><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Consumption</strong>: Azure Power BI (Direct Lake/Unity Catalog queries into AWS)</li><li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Governance</strong>: dbt for testing/docs; lineage tooling to be designed and implemented</li></ul><div class="p-rich_text_section"><strong data-stringify-type="bold">What We’re Looking For</strong></div><ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"><li data-stringify-indent="0" data-stringify-border="0">5+ years of experience in <strong data-stringify-type="bold">data engineering</strong>, including <strong data-stringify-type="bold">architecting scalable data platforms</strong> in AWS.</li><li data-stringify-indent="0" data-stringify-border="0">Deep hands-on experience with <strong data-stringify-type="bold">S3</strong>, <strong data-stringify-type="bold">Glue</strong>, <strong data-stringify-type="bold">Databricks</strong>, <strong data-stringify-type="bold">Postgres/MSSQL</strong>, and <strong data-stringify-type="bold">streaming pipelines</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Strong background in <strong data-stringify-type="bold">data modeling</strong>, <strong data-stringify-type="bold">warehouse performance tuning</strong>, and <strong data-stringify-type="bold">ELT patterns</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Demonstrated experience implementing <strong data-stringify-type="bold">data governance</strong>, <strong data-stringify-type="bold">quality frameworks</strong>, and ideally designing <strong data-stringify-type="bold">lineage systems</strong>.</li><li data-stringify-indent="0" data-stringify-border="0">Proficiency with <strong data-stringify-type="bold">Terraform</strong> and CI/CD (GitHub Actions) for data infrastructure.</li><li data-stringify-indent="0" data-stringify-border="0">Excellent communication skills — able to translate business needs into data architecture.</li><li data-stringify-indent="0" data-stringify-border="0">Comfortable operating as a <strong data-stringify-type="bold">senior team member</strong> in a growing data org, influencing architecture and mentoring others.</li></ul><div class="p-rich_text_section"><strong data-stringify-type="bold">Nice to Haves</strong></div><ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"><li data-stringify-indent="0" data-stringify-border="0">Experience with tools like <strong data-stringify-type="bold">OpenMetadata</strong>, <strong data-stringify-type="bold">DataHub</strong>, or <strong data-stringify-type="bold">Collibra</strong> for lineage and cataloging.</li><li data-stringify-indent="0" data-stringify-border="0">Exposure to <strong data-stringify-type="bold">reverse ETL</strong> patterns and marketing automation platforms.</li><li data-stringify-indent="0" data-stringify-border="0">Certifications in <strong data-stringify-type="bold">AWS Data</strong>, <strong data-stringify-type="bold">Databricks</strong>, or related fields.</li><li data-stringify-indent="0" data-stringify-border="0">Experience in multi-tenant or high-scale SaaS environments.</li></ul><div class="p-rich_text_section"><strong data-stringify-type="bold">Why Join Us</strong><br>You’ll have the opportunity to <strong data-stringify-type="bold">shape the core data platform</strong> for a rapidly growing business, setting the architectural patterns that will support thousands of customers and billions of records. We’re building a data organization that values <strong data-stringify-type="bold">performance, governance, and transparency</strong>, and we’re looking for someone who wants to leave their mark.</div><p></p><p> </p><p><span data-ccp-props="{">--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</span></p><p><strong><span data-contrast="auto">You’ll earn:</span></strong><span data-ccp-props="{"> </span></p><ul><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Competitive compensation.</span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1">Comprehensive health benefits package.<span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">401(k) plan with employer match.</span><span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Healthcare and dependent-care flexible spending account.</span><span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Company short-term and long-term disability insurance.</span><span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Company culture that recognizes its employees.</span><span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Room for growth and development and management that cares about your professional growth and will help you achieve your goals.</span><span data-ccp-props="{"> </span></li><li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Significant advancement opportunities for outstanding performers.</span><span data-ccp-props="{"> </span></li></ul><p> </p>