Senior Data Solutions Architect

Há 2 dias

Rio Grande do Sul, Brasil Provectus Tempo inteiro

Unlock the Power of Data with Provectus

At Provectus, a leading AI consultancy and solutions provider, we're passionate about helping businesses harness the full potential of their data. Our Data Engineering team is comprised of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

About the Role

We're seeking a highly skilled Data Solutions Architect to lead the design, architecture, and implementation of large-scale data solutions for our clients. As a strategic technical leader, you'll collaborate with cross-functional teams to deliver innovative data platforms that drive business value.

Key Responsibilities

  • Lead high-impact customer engagements focused on Databricks Data Platform solutions.
  • Define and drive technical strategies that align Databricks capabilities with customer objectives.
  • Architect scalable, secure, and reliable Databricks on AWS platforms, integrating with other AWS services and open-source technologies.
  • Provide technical expertise during the pre-sales process, assisting with RFPs/RFIs and creating solution architectures.
  • Oversee end-to-end implementation of data platforms, collaborating with cross-functional teams.
  • Conduct POCs and technical demos to demonstrate Databricks capabilities.
  • Build relationships with customer stakeholders, acting as a trusted advisor on data platform initiatives.
  • Promote best practices in data governance, pipelines, and platform architecture.
  • Mentor junior team members and contribute to knowledge-sharing efforts.
  • Stay current on Databricks and cloud technology advancements.

Requirements

  • Experience in data solution architecture.
  • Proven experience in designing and implementing large-scale data engineering solutions on AWS.
  • Deep expertise in the Databricks platform.
  • Strong knowledge of AWS services such as S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS.
  • Proficient in programming languages like Python, SQL, and Scala.
  • Experience with data warehousing, ETL processes, and real-time data streaming.
  • Familiarity with open-source technologies and tools commonly used in data engineering.
  • Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Strong leadership and project management skills.
  • Ability to work collaboratively in a cross-functional team environment.

Preferred Qualifications

  • AWS Certified Solutions Architect - Professional or similar certifications.
  • Databricks Certification (Databricks Certified Professional Data Engineer or equivalent certification).
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with AI/ML integration in data platforms.
  • Familiarity with data governance tools and practices.
  • Contributions to open-source projects or active participation in the data engineering community.

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