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Senior Data Solutions Architect

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Poland, Serbia

Offer summary

Qualifications:

Experience in data solution architecture, Proven data engineering solutions on AWS, Deep expertise in the Databricks platform, Strong knowledge of AWS services, Proficient in Python, SQL, and Scala.

Key responsabilities:

  • Lead customer engagements for Databricks solutions
  • Define technical strategies aligning with customer goals
  • Architect scalable Databricks on AWS platforms
  • Provide technical expertise during pre-sales process
  • Mentor junior team members and promote best practices
Provectus logo
Provectus Information Technology & Services SME https://www.provectus.com/
501 - 1000 Employees
About Provectus
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.
See more Provectus offers

Job description

Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.

As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.

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.

    • Will Be a Plus:
  • 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.

    • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Data ArchitecturePython (Programming Language)Amazon Web ServicesData GovernanceTechnical PresentationsProject ManagementScala (Programming Language)Open Source TechnologyComputer ScienceAI/ML InferenceDatabricksData WarehousingData StreamingSQL (Programming Language)

    Other Skills

    • Mentorship
    • Collaboration
    • Leadership
    • Verbal Communication Skills
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