Senior Data Engineer, Databricks

Object Edge

. Provide technical leadership with minimal oversight to deliver innovative solutions on the Databricks Platform .

Posted 11/5/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data solutions on the Databricks platform, utilizing cloud data lakehouse methodologies and ensuring data quality and pipeline efficiency. Proficient in building scalable data pipelines and collaborating with cross-functional teams to optimize data workflows.

Highest-signal resume keywords

Databricks Platform ExpertiseData Pipeline Design and DevelopmentDelta Lake and Delta Live TablesApache Spark ProficiencyDatabricks Data Engineering Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignYAML ConfigurationSQL ProgrammingObject-Oriented ProgrammingBatch and Streaming Data ProcessingJob/Workflow OrchestrationData Quality SolutionsNoSQL Database FamiliarityInfrastructure as CodeAI/ML Tools Exposure

Tools & Technologies

DatabricksDelta LakeAuto LoaderAirflowDbtGreat ExpectationsCollibraAmazon EMRAmazon RedshiftSnowflake

Certifications & Qualifications

Databricks Data Engineering Associate CertificationDatabricks Data Engineering Professional Certification

Industry Keywords

Cloud Data LakehouseDistributed Processing EnginesEvent Streaming PlatformsData and AnalyticsData QualityPipeline AuditObservability SolutionsCI/CD PipelinesContainer Management SystemsModern Data Technologies

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudJavaNoSQLPySparkPythonSnowflakeSparkSQLTerraformUnity

About the role

Key responsibilities & impact

Provide technical leadership with minimal oversight to deliver innovative solutions on the Databricks Platform
Use cloud data lakehouse methodologies, distributed processing engines, event streaming platforms, and modern data technologies
Participate in the Databricks Center of Excellence
Build next-generation data platforms for organizations in data and analytics
Work under the direction of a Solution Architect to design and implement components of client data platform solutions
Participate in design sessions, break down complex development tasks, and complete development items on time
Contribute to Center of Excellence initiatives by developing Databricks solution accelerators
Develop and implement data solutions using Databricks and its platform features
Collaborate with cross-functional teams to design and optimize batch and streaming data pipelines
Ensure data quality and pipeline efficiency
Stay current with emerging technologies and Databricks platform features and continuously improve relevant skills

Requirements

What you’ll need

At least 2 years of hands-on data pipeline design and development experience with Databricks
Experience with Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative Pipelines), and Unity Catalog
Proficiency designing and building robust, scalable, YAML configuration-driven data pipelines
Experience with batch, micro-batch, and streaming data ingestion and processing patterns using tools such as Auto Loader
Experience building complex job/workflow orchestration patterns using Databricks Jobs/Workflows or tools such as Airflow and dbt
Exposure to data quality, pipeline audit, and observability solutions using Databricks-native features or tools/frameworks such as Great Expectations, Collibra, and dbt
Proficiency with Apache Spark, Presto, and Amazon EMR
Experience with Amazon Redshift, Snowflake, and Google BigQuery
Strong programming skills using SQL, stored procedures, and object-oriented programming languages such as Java, Python, and PySpark
Familiarity with DevOps and CI/CD pipelines using Databricks Asset Bundles, automated validation, and testing
Exposure to Infrastructure as Code tools such as Terraform is a plus
Familiarity with NoSQL databases and container management systems
Exposure to AI/ML tools such as MLflow, prompt engineering, and modern data and AI agentic workflows
Databricks Data Engineering Associate and/or Professional certification and multiple Databricks project delivery experience are ideal

Benefits

Comp & perks

Equal employment opportunity and nondiscrimination protections
Work environment free of unlawful discrimination and harassment