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Data Architect Cloud, AI/ML & Enterprise Data Platforms

Data Architect Cloud, AI/ML & Enterprise Data Platforms

Quantum Integrators Group
14-16 Years
Not Disclosed
Early Applicant
  • Posted 4 days ago
  • Be among the first 10 applicants

Job Description

Company Profile: Quantum Integrators is an international strategy and business consulting group whose mission is to help clients create and sustain competitive advantage. As a truly client-focused firm, our highly trained and experienced consultants consider it their mandate to help client organizations achieve a quantum state.

Position : Data Architect – Cloud, AI/ML & Enterprise Data Platforms

Location: Pune/Nagpur, Maharashtra (Onsite, 5 days a week)

Duration: Full time

Shift: UK Shift (02.00 PM - 11.00 PM IST)

Experience: 14+ years mandatory

Job Description:

We are looking for an experienced Data Architect to design and lead enterprise data architecture, cloud data platforms, AI/ML solutions, and data governance initiatives across large-scale business environments.

Key Responsibilities:

  • Design scalable data architectures and cloud-based data platforms.
  • Develop data solutions using AWS, Azure, GCP, Snowflake, Databricks, Spark, and Kafka.
  • Enable AI/ML-driven analytics for predictive maintenance, pricing optimization, and business intelligence.
  • Establish data governance, security, privacy, and compliance frameworks.
  • Lead data modernization, lake house, data integration, and platform transformation initiatives.
  • Collaborate with business and technology teams to align data strategies with business goals.

Required Skills:

  • Enterprise Data Architecture and Data Modelling.
  • AWS, Azure, and GCP.
  • Snowflake, Databricks, Apache Spark, and Kafka.
  • Python, SQL, AI/ML, and MLOps.
  • Data Governance, Data Security, DLP, and Zero Trust.
  • Data Lakes, Lakehouse, Microservices, and Cloud Modernization.

Qualifications:

  • Bachelor's or master's degree in Computer Science, IT, or a related field.
  • 15+ years of experience in data architecture, solution architecture, or enterprise data platforms.
  • Strong technical leadership and stakeholder management skills.

More Info

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Key Skills

Data Lakes

Enterprise Data Architecture and Data Modelling

Lakehouse

Zero Trust

Cloud Modernization

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