Senior Data Architect

hace 6 días


Buenos Aires, Buenos Aires C.F., Argentina Easybroker A tiempo completo

About Easybroker

We are a remote-first company committed to connecting brilliance and opportunity. Our mission is to break down global barriers and accelerate the future of work for technologists and organizations worldwide.

About the Role

As our Lead Data Engineer, you will be responsible for understanding our platform, value proposition, and roadmap by working closely with data engineering leadership. You will take ownership of sprint work to create innovative solutions for our category-defining platform.

Responsibilities

  • Understand our platform, value proposition, and roadmap by working with data engineering leadership.
  • Take ownership of sprint work to help create innovative solutions for our category-defining platform.
  • Lead the scrum team's efforts during sprints and mentor engineers on problem-solving and software engineering fields through joint design, test-driven development, code reviews, and continuous delivery.
  • Work with data engineering leadership to define software architecture and processes for our data platform in areas like data platform technical architecture, MLOps pipeline frameworks, and end-to-end orchestration of data life cycles for batch and streaming modalities.
  • Owning the excitement of entropy, we encourage each individual at Easybroker to drive commercial ideas when they identify them, building a constantly evolving data landscape.

Requirements

  • 10+ years of experience working in data-intensive environments and platforms, building data solutions in a hands-on manner.
  • At least 2+ years of experience should be in a lead role, leading and mentoring engineering team members in pods to tackle technically complicated problems in an agile and collaborative team environment.
  • Extensive level of experience working with modern SaaS and PaaS solutions in the cloud on modern data processing frameworks, including at least two of Apache Spark, Hive, BigQuery, and Snowflake, using languages including Scala, Python, and SQL.
  • High level of experience in ETL content data at big data scale and in batch and streaming modalities, for building data lakes in the lake house pattern, including the processing of unstructured, semi-structured, and structured data, MDM enrichments, and sophisticated business logic.
  • High level of experience working in cloud platforms AWS, Azure, GCP (GCP is a plus).
  • High level of experience in data modeling, data structure & algorithms, and data platform architecture.
  • High level of experience with data orchestration frameworks, including at least one of Airflow, Dagster, AWS Step Functions, Azure LogicApps, Apache Nifi.
  • Experience in MLOps, as well as supporting operationalization of data science models and pipelines, including Pytorch, Spark.ML, Tensorflow, MLFlow, and other popular frameworks.

Benefits

  • Fully Remote work culture.
  • A fair and competitive salary.
  • Bring your own device stipend - buy your own laptop with funds from Easybroker.
  • Quarterly work-from-home stipends.
  • Generous paid time off.
  • Additional paid holidays.
  • Flexible working hours.
  • Health insurance (country-specific).
  • Equity.
  • 401k (US only).
  • Easybroker Affinity Groups.
  • And more

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