Cloud Data ArchitectCloud Data Architect

3 days ago

Mumbai Pune, India Venpa Staffing Full time

Role Summary:

As a Cloud Data Architect, you will play a pivotal role in designing and implementing scalable, high-performance cloud-native data architectures. You will lead the architecture of complex, large-scale data environments while fostering innovation and delivering robust solutions that drive business value.

Key Technologies / Skills:

  • Mastery of SQL, Python, PySpark, and Shell scripting.
  • Expertise in data modeling and big data ecosystems (e.g., Hadoop, Hive) and ETL pipelines.
  • Deep understanding of cloud-native data solutions across AWS, Azure, or GCP, with experience in Snowflake.
  • Strong knowledge of modern data architectures, including serverless computing, data lakes, and analytics solutions.

Responsibilities:

  • Design and implement innovative cloud-native data architectures, translating business needs into scalable and sustainable solutions.
  • Lead technology selection, ensuring alignment with client needs and organizational standards.
  • Develop comprehensive high-level design documents and frameworks to guide project execution.
  • Architect and optimize ETL pipelines, ensuring efficient data ingestion, transformation, and storage in the cloud.
  • Champion best practices for data governance, security, and compliance in cloud environments.
  • Conduct performance tuning and optimization of cloud-based data platforms.
  • Collaborate with stakeholders to align architectural solutions with business objectives.
  • Support pre-sales efforts by providing technical insights and creating compelling proposals.
  • Mentor and coach technical leads, enabling their growth into future data architects.
  • Stay ahead of emerging technologies and trends, driving continuous innovation in data engineering and architecture.

Required Qualifications:

  • 10+ years of experience in data engineering and architecture, with a focus on cloud hyperscalers (AWS, Azure, GCP).
  • Proven expertise in cloud-native data solutions, including Snowflake and modern data lake architectures.
  • Advanced proficiency in Python, PySpark, and SQL, with experience in NoSQL databases.
  • Extensive experience with data warehousing, ETL pipelines, and big data ecosystems.
  • Strong knowledge of ITIL service management practices and design processes.
  • Demonstrated leadership and collaboration skills, with the ability to engage diverse stakeholders.
  • A bachelors or master's degree in Computer Science, Engineering, or a related field.

Why Join Us:

  • Be part of a forward-thinking organization that values innovation, collaboration, and excellence.
  • Work on pioneering projects using state-of-the-art technologies in cloud data engineering.
  • Enjoy competitive compensation, comprehensive benefits, and flexible work arrangements.
  • Thrive in an environment that encourages personal growth and career advancement.

As a Cloud Data Architect at GDTC, your expertise will shape the future of data solutions, empowering clients to unlock the full potential of their data. Together, let's build a smarter, data-driven world.

Interested candidates can please revert with updated resume to or call @

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