Provide technical leadership for the data team, acting as a reference for architecture and best practices
Evaluate, propose and evolve data architecture solutions (batch and streaming)
Translate business needs into efficient, scalable technical solutions
Work closely with business areas, especially in CRM and Martech contexts
Desirable experience with Salesforce products (Sales Cloud, Marketing Cloud, Service Cloud, integrations, and data models)
Ensure data quality, governance, and reliability
Support strategic decisions related to data platforms and tooling
Promote engineering best practices (modularization, testing, observability, etc.)
Mentor and develop the technical skills of the team

Solid experience in event-driven and analytics-oriented data engineering and architecture
Experience with distributed processing (Spark / PySpark)
Strong proficiency in Python
Experience with pipeline orchestration (Airflow)
Familiarity with modern data platforms (e.g., Databricks)
Experience with messaging and streaming (Kafka)
Experience with cloud environments, preferably AWS (S3, Glue, Lambda, EMR, Redshift, among others)
Strong knowledge of data modeling, data pipelines, and analytical architectures
Experience with large-scale data solutions and distributed environments
Experience with CRM, CDP (Customer Data Platform), and Martech ecosystems
CI/CD, code version control, observability, and data governance
Data security, quality, and reliability
Experience designing and evaluating system integration solutions

Tech Lead, Data – Data & Analytics / Martech

Key skills