Java + Data Technical Leader
Rio de Janeiro, RJ, Brazil
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingLead design and implementation of large-scale data processing and streaming applications
Design and optimize batch and real-time pipelines with Apache Spark and Kafka
Build and maintain scalable APIs following OpenAPI specifications
Find performance bottlenecks and implement optimization strategies
Mentor development teams through code reviews and technical guidance
From the employer’s posting
Lead the technical design and implementation of large-scale data processing and streaming applications.
Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies.
Build and maintain scalable APIs following OpenAPI specifications.
Perform system analysis, identify performance bottlenecks, and implement optimization strategies.
Mentor and support development teams through code reviews, technical guidance, and knowledge sharing.
What you’ll bring
All qualificationsCore experience
- Strong Java development experience in enterprise environments
- Experience designing RESTful APIs using OpenAPI specifications
- Experience leading technical teams and complex software projects
Preferred experience
- Experience with cloud-native architectures and microservices.
- Knowledge of CI/CD practices and DevOps methodologies.
- Experience working in Agile/Scrum environments.
- Familiarity with data governance, monitoring, and observability frameworks.
Qualification wording
Strong experience with Java development in enterprise environments.
Expertise in designing and implementing RESTful APIs using OpenAPI specifications.
Experience leading technical teams and complex software projects.
Experience with cloud-native architectures and microservices.
Knowledge of CI/CD practices and DevOps methodologies.
Experience working in Agile/Scrum environments.
Familiarity with data governance, monitoring, and observability frameworks.
Tools in this posting
- Java
- Scala
- SQL
- AWS
- Databricks
- Kafka
- Spark
Source — Tool mentions in context
We are seeking an experienced Tech Lead to drive the design, development, and delivery of scalable data processing and streaming solutions. The successful candidate will provide technical leadership across data engineering initiatives, guide development teams, and contribute to the architecture of high-performance distributed systems built on modern cloud and big data technologies. This role requires strong expertise in Apache Spark, Kafka, Java/Scala development, cloud platforms, and API design, combined with the ability to mentor engineers and collaborate with cross-functional stakeholders. Key Responsibilities
Technical Skills - Strong experience with Java development in enterprise environments. - Solid expertise in Apache Spark, including:- Spark SQL
- Strong knowledge of Apache Kafka and Kafka Streams. - Experience developing applications using Scala. - Expertise in designing and implementing RESTful APIs using OpenAPI specifications.
- Strong experience with Java development in enterprise environments. - Solid expertise in Apache Spark, including:- Spark SQL - Spark Structured Streaming
- Expertise in designing and implementing RESTful APIs using OpenAPI specifications. - Strong understanding of SQL databases and data modeling concepts. - Experience working with cloud platforms, particularly AWS.
- Strong understanding of SQL databases and data modeling concepts. - Experience working with cloud platforms, particularly AWS. - Hands-on experience with Databricks.
- Experience working with cloud platforms, particularly AWS. - Hands-on experience with Databricks. - Strong systems analysis and troubleshooting capabilities.
- Define architecture standards and best practices for distributed data platforms. - Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies. - Build and maintain scalable APIs following OpenAPI specifications.
- Hands-on experience with the Cloudera ecosystem. - Strong knowledge of Apache Kafka and Kafka Streams. - Experience developing applications using Scala.
- Solid expertise in Apache Spark, including:- Spark SQL - Spark Structured Streaming - Distributed data processing
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jul 6, 2026 · 104 days ago
- Recorded sightings
- 361
- Last seen by us
- Oct 18, 2026
- Employer says posted
- Jun 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
We are seeking an experienced Tech Lead to drive the design, development, and delivery of scalable data processing and streaming solutions. The successful candidate will provide technical leadership across data engineering initiatives, guide development teams, and contribute to the architecture of high-performance distributed systems built on modern cloud and big data technologies.
This role requires strong expertise in Apache Spark, Kafka, Java/Scala development, cloud platforms, and API design, combined with the ability to mentor engineers and collaborate with cross-functional stakeholders.
Key Responsibilities
- Lead the technical design and implementation of large-scale data processing and streaming applications.
- Define architecture standards and best practices for distributed data platforms.
- Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies.
- Build and maintain scalable APIs following OpenAPI specifications.
- Perform system analysis, identify performance bottlenecks, and implement optimization strategies.
- Collaborate with product owners, architects, data engineers, and business stakeholders to translate requirements into technical solutions.
- Mentor and support development teams through code reviews, technical guidance, and knowledge sharing.
- Ensure solutions are secure, scalable, maintainable, and aligned with enterprise standards.
- Drive continuous improvement initiatives across development processes, architecture, and platform reliability.
- Participate in technical decision-making and roadmap planning.
Required Skills & Experience
Technical Skills
- Strong experience with Java development in enterprise environments.
- Solid expertise in Apache Spark, including:
- Spark SQL
- Spark Structured Streaming
- Distributed data processing
- Hands-on experience with the Cloudera ecosystem.
- Strong knowledge of Apache Kafka and Kafka Streams.
- Experience developing applications using Scala.
- Expertise in designing and implementing RESTful APIs using OpenAPI specifications.
- Strong understanding of SQL databases and data modeling concepts.
- Experience working with cloud platforms, particularly AWS.
- Hands-on experience with Databricks.
- Strong systems analysis and troubleshooting capabilities.
Leadership Skills
- Experience leading technical teams and complex software projects.
- Ability to make architectural decisions and provide technical direction.
- Strong stakeholder management and communication skills.
- Experience mentoring developers and promoting engineering best practices.
- Ability to balance technical excellence with business priorities.
Qualifications
Preferred Qualifications
- Experience with cloud-native architectures and microservices.
- Knowledge of CI/CD practices and DevOps methodologies.
- Experience working in Agile/Scrum environments.
- Familiarity with data governance, monitoring, and observability frameworks.
Additional Information
- Permanent, full-time contract with career development opportunities.
- Chance to work in a challenging, multicultural environment with international projects.
- Exposure to large-scale financial IT systems and cross-country operations.
- Training opportunities to develop new skills in finance, technology, and data management.
If you are passionate about development & tech, we want to meet you!
Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
Company Description
Join Us!
Why Talan?
For the 4th consecutive year, Talan Spain has been recognized as a Great Place to Work! 🎉 This year, we’re also celebrating our 2nd certification in Poland, a significant milestone since opening our office there.
Talan is an international advisory group specializing in innovation and transformation through technology, with 5,000 employees and an annual turnover of 600M€.
We offer our customers a continuum of services to support them at each key stage of their organization's transformation, with four main activities:
- CONSULTING in Management and Innovation: Supporting business, managerial, cultural, and technological transformations.
- DATA & TECHNOLOGY: Implementing major transformation projects.
- CLOUD & APPLICATION SERVICES: Building or integrating software solutions.
- SERVICE CENTERS of EXCELLENCE: Providing technology, innovation, agility, sustainability of skills, and cost optimization.
Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges and supporting them with technology, innovation, and data, we enable them to be more efficient and resilient.
Source details
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- Pay
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- Location & working pattern
Rio de Janeiro, RJ, Brazil
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