Engineering Lead / Solution Architect
⚲ Warszawa
180–230 zł netto (+ VAT) / godz.
Wymagania
- Databricks
- Apache Spark
- AWS
- EMR
- S3
- Glue
- Lambda
- EC2
- RDS
- IAM)
Opis stanowiska
Nasze wymagania:
Proven experience in a technical leadership or solution architect role, preferably within platform or data engineering domains.
Strong hands-on experience with Databricks and Apache Spark; familiarity with Hive and Hadoop ecosystems.
Deep knowledge of AWS services relevant to data platforms (for example: EMR, S3, Glue, Lambda, EC2, RDS, IAM).
Experience designing and operating large-scale data processing pipelines and ETL/ELT architectures.
Proficiency in infrastructure-as-code tools and CI/CD practices for data and platform deployments.
Demonstrable skills in performance optimisation, monitoring and fault-tolerant design for data workloads.
Strong communication skills and the ability to explain complex technical concepts to diverse stakeholders.
Relevant tertiary qualification or equivalent professional experience in computer science, engineering or a related discipline.
O projekcie:
We are seeking an experienced Engineering Lead / Solution Architect to assume a dual technical leadership role within our platform and data engineering organisation. The person in this role will combine strong platform engineering practice with advanced expertise in AWS and data engineering technologies to design scalable solutions, guide engineering teams, and ensure robust data processing capabilities.
Zakres obowiązków:
Lead technical design and architecture for platform and data solutions, ensuring alignment with business objectives and technical standards.
Architect, implement and optimise data processing pipelines using Databricks, Apache Spark and related technologies.
Design and operate scalable data platforms on AWS, incorporating best practices for security, cost control and reliability.
Collaborate with cross-functional teams (data engineers, software engineers, product managers) to translate requirements into pragmatic technical solutions.
Provide technical leadership and mentorship, fostering engineering discipline, code quality and operational excellence.
Define and enforce platform patterns, reusable components, and infrastructure-as-code practices.
Drive performance tuning, capacity planning and observability for data workloads; troubleshoot critical incidents and lead root-cause analysis.
Evaluate and integrate new technologies and open-source tools relevant to data processing and platform operations.
Oferujemy:
Remote work
Flexible working arrangements to support work–life balance.
Collaborative and technically driven culture focused on engineering quality and continuous improvement.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit
Proven experience in a technical leadership or solution architect role, preferably within platform or data engineering domains.
Strong hands-on experience with Databricks and Apache Spark; familiarity with Hive and Hadoop ecosystems.
Deep knowledge of AWS services relevant to data platforms (for example: EMR, S3, Glue, Lambda, EC2, RDS, IAM).
Experience designing and operating large-scale data processing pipelines and ETL/ELT architectures.
Proficiency in infrastructure-as-code tools and CI/CD practices for data and platform deployments.
Demonstrable skills in performance optimisation, monitoring and fault-tolerant design for data workloads.
Strong communication skills and the ability to explain complex technical concepts to diverse stakeholders.
Relevant tertiary qualification or equivalent professional experience in computer science, engineering or a related discipline.
O projekcie:
We are seeking an experienced Engineering Lead / Solution Architect to assume a dual technical leadership role within our platform and data engineering organisation. The person in this role will combine strong platform engineering practice with advanced expertise in AWS and data engineering technologies to design scalable solutions, guide engineering teams, and ensure robust data processing capabilities.
Zakres obowiązków:
Lead technical design and architecture for platform and data solutions, ensuring alignment with business objectives and technical standards.
Architect, implement and optimise data processing pipelines using Databricks, Apache Spark and related technologies.
Design and operate scalable data platforms on AWS, incorporating best practices for security, cost control and reliability.
Collaborate with cross-functional teams (data engineers, software engineers, product managers) to translate requirements into pragmatic technical solutions.
Provide technical leadership and mentorship, fostering engineering discipline, code quality and operational excellence.
Define and enforce platform patterns, reusable components, and infrastructure-as-code practices.
Drive performance tuning, capacity planning and observability for data workloads; troubleshoot critical incidents and lead root-cause analysis.
Evaluate and integrate new technologies and open-source tools relevant to data processing and platform operations.
Oferujemy:
Remote work
Flexible working arrangements to support work–life balance.
Collaborative and technically driven culture focused on engineering quality and continuous improvement.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit
🔍 Dekoder Ogłoszenia
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Proven experience in a technical leadership or solution architect role
Oczekuje się, że kandydat posiadał już doświadczenie w prowadzeniu zespołów technicznych lub projektowaniu architektury rozwiązań, a nie tylko teoretyczną wiedzę.
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preferably within platform or data engineering domains
Chociaż doświadczenie w tych obszarach jest preferowane, nie jest to bezwzględny wymóg, co może oznaczać, że kandydaci z pokrewnych dziedzin również będą rozważani.
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Strong hands-on experience with Databricks and Apache Spark
Wymaga się praktycznego, a nie tylko teoretycznego, doświadczenia w pracy z tymi technologiami, co sugeruje potrzebę samodzielnego rozwiązywania problemów.
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Deep knowledge of AWS services relevant to data platforms
Oczekiwana jest szczegółowa i praktyczna znajomość konkretnych usług AWS związanych z danymi, co może oznaczać konieczność ich częstego i zaawansowanego wykorzystania.
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Strong communication skills and the ability to explain complex technical concepts to diverse stakeholders
Poza technicznymi umiejętnościami, kluczowa jest zdolność do efektywnego komunikowania się z osobami o różnym poziomie wiedzy technicznej, w tym z biznesem.