Chief Data Architect

2 days ago

Hyderabad Secunderabad Telangana, India beBeeDataStrategy Full time
**Data Strategy Expert**Job Description:

  • Design, implement and maintain scalable data architectures that support enterprise-wide data solutions.
  • Develop comprehensive data frameworks to enable secure, governed and accessible data across various business domains.
  • Create data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency and usability across analytical platforms.
  • Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems and external data platforms.
  • Optimize query performance, indexing, caching and storage strategies to enhance scalability, cost efficiency and analytical capabilities.
  • Establish data interoperability frameworks to enable seamless integration across multiple data sources and platforms.
  • Drive data governance strategies to ensure security, compliance, access controls and lineage tracking are embedded into enterprise data solutions.
  • Implement DataOps best practices, including continuous integration/continuous deployment (CI/CD) for data pipelines, automated monitoring and proactive issue resolution to improve operational efficiency.

Required Skills and Qualifications:

Must-Have Skills:

  • Experience in data architecture, enterprise data management and cloud-based analytics solutions.
  • Expertise in Databricks, cloud-native data platforms and distributed computing frameworks.
  • Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL and data virtualization.
  • Experience designing high-performance ETL/ELT pipelines and real-time data processing solutions.
  • Deep understanding of data governance, security, metadata management and access control frameworks.
  • Hands-on experience with CI/CD for data solutions, DataOps automation and infrastructure as code (IaC).
  • Proven ability to collaborate with cross-functional teams to drive successful data initiatives.
  • Strong problem-solving, strategic thinking and technical leadership skills.

Good-to-Have Skills:

  • Deep expertise in Biotech and Pharma industries.
  • Experience with Data Mesh architectures and federated data governance models.
  • Certification in cloud data platforms or enterprise architecture frameworks.
  • Knowledge of AI/ML pipeline integration within enterprise data architectures.
  • Familiarity with BI and analytics platforms for enabling self-service analytics and enterprise reporting.
Education and Professional Certifications:

  • Doctorate degree with 6-8+ years of experience in Computer Science, IT or related field.
  • Master's degree with years of experience in Computer Science, IT or related field.
  • Bachelor's degree with years of experience in Computer Science, IT or related field.
  • AWS Certified Data Engineer preferred.
  • Databricks Certificate preferred.
Soft Skills:

  • Excellent analytical and troubleshooting skills.
  • Strong verbal and written communication skills.
  • Ability to work effectively with global and virtual teams.
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.
  • Team-oriented with a focus on achieving team goals.
  • Ability to learn quickly, be organized and detail-oriented.
  • Strong presentation and public speaking skills.

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