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busquedasIT
SENIOR DATA ARCHITECT (REMOTE - BASED IN USA)
SUSPENDIDO

Confidencial REF: #1774

Headquartered in midtown Manhattan and Washington DC, we are surrounded by startups and technological innovation. The entrepreneurial atmosphere drives us to challenge ourselves personally and mentally. Our projects are breaking new ground using the latest technologies in machine learning and AI. Data Analytics is evolving rapidly and we’re a group of passionate data nerds excited to work with other talented data practitioners.

We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You’ll spend most of your time embedded with delivery squads—modeling data, tuning clusters and enforcing standards—but you’ll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed.

Key responsibilities:

  • Act as the primary technical liaison with clients during key engagements—translating business goals into architecture that both sides understand.
  • Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential.
  • Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs.
  • Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming and governance zones
  • Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production.
  • Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions.

  • 5–7 years building cloud data platforms; 3+ years hands-on with Databricks.
  • Deep expertise in Delta Lake ACID, Unity Catalog and Spark performance tuning.
  • Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds.
  • Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow or similar orchestrators.
  • Databricks Data Engineer Professional certification (or ability to earn in 90 days).
  • Excellent communication skills for client workshops, documentation, and mentoring.
  • Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders

We are an AWS partner and work on projects that use the latest and greatest technologies. We care about the products we build and only work with clients who understand that good applications come from happy engineers and team members. We’re headquartered in NYC and DC with additional remote engineers across the US.

  • Fully Remote
  • Unlimited PTO
  • Flexible Schedule
  • Worldwide recognized clients to build skills for an excellent resume
  • Top-notch team to learn and grow with

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Cargo y Tecnologías

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