Senior Data Driven Solutions Architect

7 days ago

Kolkata, West Bengal, India beBeeDataDriven Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Datadriven Solutions Architect

About the Role

We are seeking a highly skilled and experienced Datadriven Solutions Architect to join our team. As a key member of our organization, you will be responsible for designing, developing, and implementing scalable data solutions that drive business growth and success.

The ideal candidate will have a strong background in data engineering, with expertise in data modeling, ETL/ELT processes, and cloud platform deployment. You will work closely with cross-functional teams to translate business requirements into effective data-driven solutions.

Key Responsibilities
  • Design and develop scalable data pipelines to support business intelligence and advanced analytics projects
  • Implement and manage ETL/ELT workflows using various tools to maintain reliable, high-quality data flow and accessibility
  • Deploy and manage scalable data solutions on AWS or Azure cloud platforms, leveraging cloud services for performance and cost efficiency
  • Ensure integration of data sources maintains high-quality, consistent, and accessible data; implement and follow data governance best practices
  • Mentor junior team members and contribute to knowledge sharing across the organization
Required Skills and Qualifications
  • Proficiency in Dataiku for data prep, visualization, and building end-to-end data pipelines and applications
  • Strong expertise in data modeling techniques such as dimensional modeling (Kimball, Inmon)
  • Extensive experience with ETL/ELT tools and processes (e.g., Dataiku built-in tools, Apache Airflow, Talend, SSIS)
  • Familiarity with LLM Mesh or similar Generative AI frameworks
  • Advanced skills in Python programming and SQL querying for data manipulation and automation
  • Hands-on experience with cloud platforms like AWS or Azure for scalable data deployments
  • Excellent analytical, problem-solving, communication, and interpersonal skills
Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field is required

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