puestos en Adobe en Brasil

We seek a Principal Software Engineer with deep experience in designing and building modern, cloud-native data analytics and management solutions. In this role, you will lead architecture and development efforts for highly scalable, reliable, and secure systems that support enterprise data connectivity, transformation, integration, cataloging, governance, and analytics.

Your Impact:

• Architect and develop robust, scalable cloud-based data platform products for enterprise customers.
• Design and implement systems for data ingestion, transformation, cataloging, and governance.
• Provide technical leadership on data architecture, cloud engineering, and DevOps best practices.
• Collaborate with cross-functional teams—including product management, data engineering, UX design, data science, and customer success—to deliver user-centric, impactful solutions.
• Partner with management and engineering infrastructure teams to estimate, monitor, and optimize cloud infrastructure and platform costs.
• Mentor and guide engineers through technical leadership, including reviewing code changes to ensure adherence to best practices, performance standards, and code quality.
• Develop product capabilities for scalable data pipelines, data integration, and data management workflows using technologies such as Apache Spark, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, Delta Tables, and Python.
• Build systems and services that support ad hoc and AI-driven data analytics, reporting, and BI solutions, enabling users to derive insights through intuitive interfaces and semantic models.
• Lead performance optimization, security enforcement, and reliability improvements.
• Stay up-to-date with advancements in cloud, data, and AI technologies to drive innovation and continuous improvement.

Your Qualifications:

• 10+ years of software engineering experience, with 5+ years in data-focused roles.
• Proven experience designing and implementing cloud-native data solutions in AWS, Azure, and/or GCP.
• Strong expertise in distributed data processing frameworks like Apache Spark.
• Deep understanding of data lakehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog.
• Experience building data products that support BI tools, dashboards, and analytics, including support for ad hoc querying, semantic layers, and AI-enhanced insights.
• Experience building and/or using ETL, ELT, data quality, data management platforms, and solutions
• Proficient in Python; experience with additional languages such as Scala or Java is a plus.
• Hands-on experience with data integration, transformation, and cataloging tools.
• Familiarity with modern data governance and security practices for enterprise systems.
• Strong problem-solving and communication skills.
• Demonstrated experience in a principal or technical lead role, with a track record of guiding architecture decisions, mentoring engineers, and driving technical execution.

Preferred Qualifications:

• Experience with BI platforms such as Tableau, Power BI, or similar.
• Experience with OLAP / multi-dimensional databases, query engines, and models
• Experience with enterprise planning analytics platforms, such as Anaplan or similar.
• Background in building analytics and reporting solutions that leverage machine learning or generative AI to enhance user experience.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Contributions to open-source data or analytics projects or active involvement in data engineering communities.

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