Chief Data Pipeline Architect

1 week ago

India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Data Engineer Job Description

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We are seeking a highly skilled and experienced Data Engineer to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt.

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This role involves defining architectural best practices, driving data transformation at scale, and working closely with clients to translate business needs into robust data solutions.

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You will be responsible for architecting and implementing modular, test-driven ELT pipelines using dbt on Snowflake, designing layered data models, and optimizing Snowflake for performance and cost.

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Additionally, you will orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines, define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.

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Collaboration with analysts, data scientists, architects, and business stakeholders is essential to deliver validated, business-ready data assets. You will also mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.

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Required Skills and Qualifications

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  • ~5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.\
  • Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.\
  • Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.\
  • Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory.\
  • Comfortable working with data ingestion from cloud storage (e.g., Azure Data Lake, AWS S3) and APIs.\
  • Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions.\
  • Knowledge of modern data warehousing principles.\
  • Experience implementing Medallion Architecture (Bronze/Silver/Gold layers).\
  • Experience working with Parquet, JSON, CSV, or other data formats.\
  • Python: For data transformation, notebook development, automation.\
  • Strong grasp of SQL for querying and performance tuning.\
  • ETL/ELT pipeline design and optimization.\
  • Exposure to AI/ML data pipelines, feature stores, or MLflow for model tracking.\
  • Exposure to data quality and validation frameworks.\
  • Data encryption, secure key management and security best practices for Snowflake and dbt.
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Benefits

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  • Collaborate with business stakeholders to understand objectives and convert them into actionable data engineering designs.\
  • End-to-end delivery including design, implementation, and monitoring.\
  • Work in sprints, participate in scrum ceremonies, story estimation.
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Others

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A Bachelor's or master's degree in computer science, Data Engineering, or a related field is required. Certifications such as Snowflake SnowPro Advanced and dbt Certified Developer are a plus.

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You will work on modern data architecture at scale using cutting-edge technologies, collaborate with a dynamic team of data professionals, and grow your leadership skills through hands-on project ownership and mentorship.

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