Data Architect Specialist

7 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000
Job Title:">

Lead data architects play a key role in designing and implementing data architectures to achieve optimum value from data. They are the technical leaders within data delivery teams, responsible for modelling data for optimal reuse, interoperability, security, and accessibility.

The lead data architect is responsible for overseeing the entire data architecture strategy, mentoring junior data architects, and designing and implementing complex scalable, high-performance data architectures that meet business requirements.

Key Responsibilities include:
• Design and oversee the entire data architecture strategy.
• Mentor junior data architects to ensure skill development in alignment with the team strategy.
• Design and implement complex scalable, high-performance data architectures that meet business requirements.
• Model data for optimal reuse, interoperability, security, and accessibility.
• Develop and maintain data flow diagrams, and data dictionaries.
• Collaborate with stakeholders to understand data needs and translate them into technical solutions.
• Ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration.
• Ensure data quality, integrity, and security across all data systems.

Qualifications include:
• Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R.
• Ability to drive business results by building optimal cost data landscapes.
• Familiarity with Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible.
• Experience with machine learning and advanced analytics.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of CI/CD pipelines and automated testing frameworks.
• Certifications such as AWS Certified Solutions Architect, IBM certified data architect or similar are a plus.

Required skills and qualifications include experience in cloud-based technologies, data architecture design, and implementation, as well as expertise in programming languages, data visualization tools, and big data processing frameworks.

Benefits of this role include professional growth opportunities, flexible work arrangements, and a competitive compensation package.

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