United States

Data Engineering

Evandro Paula

Distinguished Data Architect

Critical-thinking

Cloud computing

Database management

Design systems

Information architecture

Advanced data analytics

Apache Spark

Databricks

REST API

Airflow

Redis

PostgreSQL

Kafka

Jupyter Notebook

Python

Empathy

Leadership

Project management

Understand the process of training, motivating and directing your team members.

Managing people

Making remote and globally distributed teams work for you and your needs.

Working remotely

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

Talk to people who've broken into the tech industry and learn their stories.

Breaking into tech

Learn the best ways to answer technical interview questions with frameworks

Acing technical interview questions

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to think about design career paths and what progression looks like for designers?

Design career path

• Driving architecture vision and strategy for a multi-cloud data platform (GCP, Databricks), enabling transformational experiences across multiple business domains and positioning the company for future growth.
• Major capabilities include: platform-agnostic metadata system (Open Data Product Specification), comprehensive range of connectors for data acquisition, Spark-based data transformations, open table formats (Delta Lake, Apache Iceberg), built-in data governance, context graph, data consumption tier (REST, MCP), detailed cost breakdown observability and more.
• Leading the Cross-Product Data Architecture Council, aligning architecture standards, integration patterns, and data platform strategy across multiple product portfolios.
• Partnering with executive leadership, product management, engineering, and data teams to define long-term technology roadmaps and investment priorities.

• Led globally distributed spark-based data ingestion and transformation architecture, design, security, compliance, and performance for S/4 HANA data products within SAP BDC at scale (e.g. 20B+ rows data sources, 35K hourly jobs).
• Led SAP SuccessFactors Data Lake architecture, design, security, performance, scalability (10K+ hourly jobs, 1B+ rows data sources) and implementation to power learning and marketplace AI recommendations, Elastic Search indexer and analytics use cases.
• Support on-call engineering rotation, debugging, mitigating, resolving and post-mortem analysis of high-priority incidents.

Evandro Paula🇺🇸

About Evandro Paula

Expertise

Sessions with Evandro Paula