Senior Big Data Architect - Cloud Data Pipelines

Precodata; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

MacBook Pro

Preco Mojo: diverse and easy to work

Preco Courses: learning program

Preco Lunch: weekly team meals

Annual kickoff in Europe

Job summary

Precodata is seeking a Big Data Architect to design platforms enabling data scientists and analysts to gain insights through data-driven services and infrastructures. You will lead data ingestion, processing engagements and stakeholder management, with a strong emphasis on cloud platforms and big data tooling.

You will oversee technical output, drive scalable architectures, and collaborate with business and technical teams to deliver value from large, complex datasets using AWS, Azure, GCP and

Qualifications

• Experience building scalable, end-to-end data pipelines across cloud environments.
• Strong understanding of data governance, privacy, and regulatory requirements.

Responsibilities

• Design and implement data ingestion and processing architectures for diverse data sources.
• Provide technical leadership for data ingestion and processing engagements.
• Collaborate with data scientists, analysts and DevOps to deliver data engineering solutions.
• Ensure scalability, reliability and security of data pipelines across multi-cloud platforms.

Skills

Big data design

Data ingestion

Cloud platforms

Spark / Flink / Hadoop

Python / Java

Stakeholder management

Tools

Hadoop

Spark

Flink

Hive

Casandra

Job description

Precodata is seeking a Big Data Architect to design platforms enabling data scientists and analysts to gain insights through data-driven services and infrastructures. You will lead data ingestion, processing engagements and stakeholder management, with a strong emphasis on cloud platforms and big data tooling.

You will oversee technical output, drive scalable architectures, and collaborate with business and technical teams to deliver value from large, complex datasets using AWS, Azure, GCP and