Senior Data Engineer – Databricks

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $155k - $185k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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SugarCRM

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🏢 Enterprise

🤝 B2B

💰 Private Equity Round on 2018-08

SaaS • Enterprise • B2B

SugarCRM is a leading provider of customer relationship management (CRM) software that caters to B2B manufacturers and other industries. The company offers solutions designed to streamline complex sales cycles and improve customer service through advanced automation and AI-powered insights. SugarCRM provides a unified view of customer data, helping businesses enhance their decision-making processes and predict sales performance. Their platform supports integrations with modern and legacy systems, accommodating various business needs. SugarCRM also delivers services in marketing automation and revenue intelligence, making it a comprehensive CRM choice for businesses seeking to improve productivity and customer engagement.

📋 Description

• Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows • Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders • Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs • Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions • Support new customers onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one • Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments • Own the Delta Lake architecture including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns • Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise CRM and ERP data • Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports Sugar Predict prediction accuracy • Apply and enforce multi-tenant data isolation patterns ensuring reliable, secure data delivery across Sugar Predict enterprise customers • Partner with the Enterprise Architecture team to ensure Sugar Predict data pipelines integrate seamlessly with the broader SugarAI product ecosystem • Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones • Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios • Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery

🎯 Requirements

• 4+ years of data engineering experience • At least 2 years on Databricks or the Apache Spark ecosystem across Azure and/or AWS • Proficiency in PySpark, SQL, and Python with a strong track record building and operating production-grade pipelines under SLA constraints • Hands-on experience with Delta Lake including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns • Hands-on experience with pipeline performance tuning and compute optimization in production Databricks environments • Solid working knowledge of PostgreSQL including query optimization, schema design, and use as a source or sink in production data pipelines • Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production • Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions • Proven ability to work collaboratively across data science, product, and infrastructure teams, owning end-to-end delivery in a cross-functional environment • Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi-tenant environments

🏖️ Benefits

• Excellent healthcare package for you and your family • Savings and Investment – 401(k) match • Unlimited Paid Time Off • Paid Parental Leave • Online Legal Services (Rocket Lawyer) • Financial Planning Services (Origin) • Discounted Pet Insurance (Embrace Pet Insurance) • Corporate Benefit Program (Working Advantage). This benefit offers you exclusive travel and entertainment offers and special discounts that are not available to the general public • Health and Wellness Reimbursement Program • Travel Discounts • Educational Resources - Career & Personal Development Program • Employee Referral Bonus Program • We are a merit-based company - many opportunities to learn, excel and grow your career!