SugarCRM

1 week ago

Senior Data Engineer - Databricks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own the production Databricks pipelines powering the Sugar Predict data platform, ensuring reliability through monitoring, alerting, and incident response. Maintain SLA performance metrics, optimize pipeline cost and throughput, and migrate legacy ETL/ELT to Databricks with automation to minimize manual intervention. Design high-performance pipelines across Azure and AWS, manage Delta Lake architecture and data quality, and enforce security and multi-tenant isolation. Participate in on-call support and documentation for global operations.

Location: Denver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own Databricks production support for the Sugar Predict platform, including monitoring, alerting, and incident response.
•Maintain and report SLA performance metrics for data pipeline delivery and platform health.
•Identify and implement pipeline optimizations to reduce compute costs, improve throughput, and reduce processing windows with measurable KPIs.
•Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted delivery.
•Design and operate high-performance Databricks pipelines, including Delta Lake architecture, data quality monitoring, security enforcement, and multi-tenant data isolation.

Pay and Benefits

Salary: USD 155,000 - 185,000 annually

Perks:Health Insurance401kPaid LeavePaid ParentalPet InsuranceLearning Budget

Key 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 building and operating production-grade pipelines under SLA constraints
•Hands-on experience with Delta Lake (schema evolution, ACID transactions, optimize/vacuum, incremental and streaming patterns)
•Solid working knowledge of PostgreSQL and experience supporting legacy ETL tooling in production

Experience:4+ years

Skills:CollaborationEnd-to-end ownershipData governance awarenessProduction operations readiness

Certifications:Databricks Certified Data Engineer AssociateDatabricks Certified Data Engineer Professional

Tech Stack:DatabricksApache SparkPySparkSQLPythonDelta LakeAzureAWSPostgreSQLERPCRMETLELTSSISInformaticaCI/CDServerless compute

Company Brief

SugarCRM

Provides customer relationship management (CRM) software and cloud-based sales, marketing, and service automation solutions for mid-market and enterprise customers, with on-premise and SaaS deployment options.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Cupertino, United States

Founded: 2004

Website LinkedIn

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SugarCRM

1 week ago

Senior Data Engineer - Databricks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Denver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own Databricks production support for the Sugar Predict platform, including monitoring, alerting, and incident response.
•Maintain and report SLA performance metrics for data pipeline delivery and platform health.
•Identify and implement pipeline optimizations to reduce compute costs, improve throughput, and reduce processing windows with measurable KPIs.
•Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted delivery.
•Design and operate high-performance Databricks pipelines, including Delta Lake architecture, data quality monitoring, security enforcement, and multi-tenant data isolation.

Pay and Benefits

Salary: USD 155,000 - 185,000 annually

Perks:Health Insurance401kPaid LeavePaid ParentalPet InsuranceLearning Budget

Key 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 building and operating production-grade pipelines under SLA constraints
•Hands-on experience with Delta Lake (schema evolution, ACID transactions, optimize/vacuum, incremental and streaming patterns)
•Solid working knowledge of PostgreSQL and experience supporting legacy ETL tooling in production

Experience:4+ years

Skills:CollaborationEnd-to-end ownershipData governance awarenessProduction operations readiness

Certifications:Databricks Certified Data Engineer AssociateDatabricks Certified Data Engineer Professional

Tech Stack:DatabricksApache SparkPySparkSQLPythonDelta LakeAzureAWSPostgreSQLERPCRMETLELTSSISInformaticaCI/CDServerless compute

Company Brief

SugarCRM

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Cupertino, United States

Founded: 2004

Website LinkedIn