Senior Enterprise Data Architect

3 days ago

Hyderabad Secunderabad Telangana, India beBeeDataArchitect Full time US$ 1,50,000 - US$ 2,00,000
Job Summary

We are seeking a seasoned data architect with expertise in designing and implementing scalable, high-performance data platforms. The ideal candidate will have a strong background in data engineering, cloud computing, and big data technologies.

Key Responsibilities:
  • Design and implement scalable, high-performance data platforms using modern approaches like data mesh.
  • Evaluate new trends and features in data platforms area and build rapid prototypes to demonstrate proof of concept.
  • Build data solution architectures and frameworks to accelerate data engineering processes.
  • Develop frameworks to improve reusability, reduce development time, and cost of data management and governance.
  • Integrate AI into data engineering practices to bring efficiency through automation.
  • Build best practices in data platforms capability and ensure their adoption across product teams.
  • Lead and motivate a high-performing data platforms team to deliver exceptional results.
Requirements:
  • 12 to 17 years with computer science and engineering preferred, other Engineering fields will be considered.
  • 10+ years of experience in building Data Platforms, Data Engineering, working in COE development or product building.
  • 5+ years of hands-on experience working with Big Data Platforms & Solutions using AWS and Databricks.
  • 5+ years of experience in leading enterprise scale data engineering solution development.
  • Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh.
  • Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
  • Hands-on experience using Databricks, PySpark, Python, SQL.
  • Proven ability to lead and develop high-performing data engineering teams.
Preferred Qualifications:
  • Experience in Integrating AI with Data Platforms & Engineering and building AI ready data platforms.
  • Prior experience in data modeling especially star-schema modeling concepts.
  • Familiarity with ontologies, information modeling, and graph databases.
  • Experience working with agile development methodologies such as Scaled Agile.
  • Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
Benefits:
  • Opportunity to work with a talented team of data engineers and architects.
  • Professional growth and development opportunities.
  • Competitive compensation package.
Others:
  • SAFe for Teams certification (preferred).
  • Databricks certifications.
  • AWS cloud certification.

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