Senior Data Solutions Architect

23 hours ago

Thrissur, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Data Solutions Architect

At our organization, we are seeking a highly skilled Senior Data Solutions Architect to lead the development of cutting-edge data solutions that drive business growth and success.

This is an exciting opportunity to work with a talented team of professionals who share your passion for innovative data engineering and architecture. You will be responsible for designing and implementing robust data pipelines, orchestrating large-scale data projects, and collaborating with stakeholders to transform use cases into production-ready services and solutions.

To succeed in this role, you should have a strong background in data engineering, including expertise in Python and SQL, as well as proficiency in Databricks/PySpark and dbt. Additionally, you should have hands-on experience with workflow orchestration tools and knowledge of machine learning fundamentals.

We are looking for someone who is able to handle complex data systems from scratch, with a strong ability to communicate technical ideas and collaborate effectively with cross-functional teams.

Responsibilities:

  • Design and implement high-performance data pipelines using scalable, reliable, and efficient architectures.
  • Lead end-to-end software development projects involving large language models, retrieval-augmented generation frameworks, and other AI technologies.
  • Champion modern software engineering practices such as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.
  • Collaborate with business stakeholders to transform use cases into production-ready services and solutions, owning systems from concept to production.
  • Implement rigorous testing and monitoring practices to ensure superior data quality and integrity.
  • Mentor and guide junior team members, fostering a culture of excellence and continuous learning.

Requirements:

  • Bachelor's degree or higher in a STEM field (Computer Science, Math, Physics, Engineering, or related).
  • Advanced degree in Computer Science or related field preferred.
  • 5-7 years of total professional experience.
  • 3-5 years of experience in Data Engineering or a related discipline with a proven track record of success.
  • Experience in financial services or product development environments is a strong plus.

Preferred Skills:

  • Expertise in Python and SQL with strong data manipulation and analysis skills.
  • Proficiency with Databricks/PySpark and dbt for data warehousing and transformation.
  • Hands-on experience with workflow orchestration tools (e.g., Airflow, Temporal).
  • Experience working with LLMs, prompt engineering, RAG frameworks, and vector databases.
  • Knowledge of machine learning fundamentals, feature engineering, and knowledge graphs is an advantage.
  • Strong experience in designing and implementing complex data systems from scratch.
  • Ability to handle large-scale data projects including ETL, data cleaning, and information retrieval.
  • Strong communication skills (verbal and written).

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Recognition and rewards for outstanding performance.

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