Data Tech Lead – DataOps

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November 14

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CI&T

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Artificial Intelligence • Cloud Services • SaaS

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

📋 Description

• Design, build, and optimize data ingestion and transformation pipelines using Databricks and other modern cloud-based data platforms. • Implement and enforce data contracts, ensuring schema consistency and compatibility across services. • Develop and integrate data quality checks (validation, anomaly detection, reconciliation) into pipelines. • Apply DataOps best practices, including CI/CD for data workflows, observability, monitoring, and automated testing. • Collaborate with product, analytics, and engineering teams to understand requirements and deliver reliable, production-grade data solutions. • Drive improvements in data performance, cost optimization, and scalability. • Contribute to architectural decisions around data modeling, governance, and integration patterns. • Mentor junior data engineers and developers, providing code reviews, knowledge-sharing, and best-practice guidance.

🎯 Requirements

• Proven experience building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL). • Strong programming skills in Python and SQL for data processing and transformation. • Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing. • Solid experience with data pipeline orchestration tools (e.g., Airflow, Dagster, Prefect, dbt, Azure Data Factory). • Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, and infrastructure-as-code. • Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services. • Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues. • Advanced English proficiency is essential. • Strong understanding of the business domain and end-to-end business considerations. • Experience with data contracts, schema evolution, and ensuring compatibility across services. • Experience with Databricks Asset Bundles. • Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions). • Familiarity with dbt, Atlan, and Soda. • Experience integrating with Power BI. • Experience with data streaming technologies and real-time data processing.

🏖️ Benefits

• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass • Profit sharing and results participation (PLR) • Life insurance • Continuous learning platform (CI&T University) • Employee discount club • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • And many more!