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Data Solution Lead

abraCenter, IsraelHybridFull-timeSeniority: Lead

Posted May 28 · 0 applicants

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The role in plain words

This role involves leading the architecture and design of enterprise Data and AI initiatives while staying hands-on with Python, SQL, and modern data platforms. You will build proofs of concept, support presales activities, and guide customers through complex technical challenges. Additionally, you will lead the end-to-end delivery of advanced data projects and collaborate with various stakeholders.

Must-have
  • 5–8 years of experience in Data Engineering, Data Architecture, Analytics, or AI-related roles
  • Strong hands-on experience with Python
  • Strong hands-on experience with SQL
  • Experience designing complex data architectures and data pipelines
  • Experience with Real-Time Analytics
Nice-to-have

    Extracted from the job description · kept up to date automatically

    Who this suits

    This role suits experienced professionals with 5 to 8 years of experience in data engineering, architecture, or analytics who have strong customer-facing consulting skills. It is less ideal for those seeking a purely internal-facing role without presales or client interaction.

    Full job description

    Original listing · kept for reference

    Join abra's Microsoft Division and help organizations design and deliver cutting-edge Data & AI solutions. We are looking for an experienced Data Solutions Lead to combine technical expertise, solution architecture, customer consulting, and hands-on delivery across complex data projects. What you'll do • Lead solution architecture and design for enterprise Data & AI initiatives. • Build Proofs of Concept (POCs) and stay hands-on with Python, SQL, and modern data platforms. • Support presales activities, technical discovery, and technology selection. • Guide customers through complex technical challenges and recommend best-fit solutions. • Lead end-to-end delivery of advanced data projects while collaborating with technical and business stakeholders.

    Requirements: • 5–8 years of experience in Data Engineering, Data Architecture, Analytics, or AI-related roles. • Strong hands-on experience with Python and SQL . • Experience designing complex data architectures and data pipelines. • Experience with Real-Time Analytics . • Customer-facing experience, including technical consulting or presales. • Excellent communication skills with the ability to translate business needs into technical solutions.

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    Questions about this role

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    abra
    Posted May 28 · 0 applicants
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