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Senior Data Architect

1 month ago

Delhi, Delhi, India HNM Solutions Full time
{"title": "Senior Data Architect", "description": "Job Title: Senior Data Architect

At HNM Solutions, we are seeking a highly skilled Senior Data Architect to join our team. As a key member of our data architecture team, you will be responsible for designing and implementing scalable data architectures to support complex analytics and business intelligence requirements.

Key Responsibilities:
  • Develop data models, data flow diagrams, and data integration strategies.
  • Create and maintain comprehensive data dictionaries and metadata repositories.
  • Lead the development and optimization of data pipelines using Databricks, ensuring high performance and scalability.
  • Utilize Databricks and PySpark to perform data transformation, ETL, and advanced analytics.
  • Collaborate with data engineers and analysts to enhance Databricks environments and workflows.
  • Plan and execute the migration of data platforms and applications from Azure to AWS, ensuring minimal disruption and data integrity.
  • Develop strategies for data migration, including risk assessment, performance tuning, and cost management.
  • Coordinate with cross-functional teams to address technical challenges during the migration process.
  • Develop and implement AI/ML frameworks, including model training, evaluation, and deployment.
  • Create strategic roadmaps for integrating AI/ML capabilities into business processes.
  • Collaborate with data scientists and engineers to support machine learning projects and ensure alignment with business objectives.
  • Manage and optimize relational and non-relational databases, ensuring efficient data storage and retrieval.
  • Develop and enforce data governance policies, including data quality, security, and compliance.
  • Stay current with emerging technologies and trends in data architecture, cloud computing, and AI/ML.
  • Continuously assess and enhance data management practices to drive operational efficiency and innovation.
Requirements:
  • Proven expertise with Databricks, including setting up and managing clusters, optimizing performance, and developing data pipelines using PySpark.
  • Strong background in AWS, with experience in migrating data platforms from Azure to AWS.
  • Proficiency in PySpark, SQL, and other relevant programming languages.
  • Extensive experience in designing and managing complex data architectures and databases.
  • Experience in developing and implementing AI/ML frameworks and roadmaps.
  • Strong analytical and problem-solving skills with a focus on optimizing data processes and systems.
  • Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Master's degree preferred.
  • 8-10 years of experience in data architecture and management roles.
  • Demonstrated experience with Databricks and AWS cloud platforms.
  • Proven track record in migrating data platforms from Azure to AWS.
  • Experience in developing AI/ML frameworks and roadmaps.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced data professional looking for a new challenge, please submit your application.

"}