17 часов назад
Big Data Architect (AWS, West Palm Beach)
84 000 - 108 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Big Data Architect (AWS, West Palm Beach) (Databricks/AWS): Designing and implementing scalable Data & Analytics platforms and cloud-based data architectures with an accent on Databricks, batch and streaming workloads, and stakeholder-driven solution design. Focus on defining data models and ingestion strategies, guiding engineering teams, evaluating technologies, and delivering production platforms across the full project lifecycle.
Location: Onsite in West Palm Beach, USA
Salary: $84,000–$108,000 annual base salary, plus variable compensation
Company
provides engineering and technology services, including Data & Analytics solutions and cloud-based data platforms.
What you will do
- Design scalable Data & Analytics architectures using Databricks and cloud-native platform technologies.
- Gather requirements with technical and business stakeholders and translate them into technical solutions and implementation roadmaps.
- Define data platform architectures, data models, ingestion strategies, and source-to-target mappings for batch and streaming workloads.
- Guide engineering teams, review solution designs, and promote data engineering best practices.
- Contribute to technology selection, estimation, delivery planning, prototypes, and architecture decisions.
- Create architecture documentation, technical designs, and implementation guidelines.
Requirements
- Experience designing and delivering enterprise-scale Data & Analytics platforms as a Data Architect.
- Strong expertise with Databricks, Apache Spark, PySpark or Spark SQL, and modern data processing frameworks.
- Hands-on experience with scalable batch and streaming architectures, data pipelines, and cloud-based data platforms.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Proficiency in Python, Scala, or Java, together with advanced SQL skills.
- Experience with Databricks Workflows, Apache Airflow, or equivalent orchestration tools, plus strong stakeholder communication skills.
Culture & Benefits
- Work across the full project lifecycle, from discovery and solution design through production implementation.
- Participate in knowledge sharing and continuous improvement within the engineering community.
- Variable compensation is available in addition to the base salary.
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