Waisl_Data Architect/SME_Delhi_27-Nov-24

Primary Role & Responsibilities:

• The primary role of the candidate will be:
• Design and maintain the organization's data architecture, including databases, data storage systems, and data integration processes.
• Develop conceptual, logical, and physical data models that meet business requirements and optimize data flow and storage.
• Design and implement ETL (Extract, Transform, Load) processes to integrate data from various sources into the centralized data repository.
• Implement data governance frameworks, ensuring compliance with regulatory requirements, data privacy laws, and industry best practices.
• Design, implement, and optimize database solutions (e.g., SQL, NoSQL) to ensure high performance, security, and reliability.
• Evaluate new data technologies, tools, and software to enhance data architecture and improve business outcomes.
• Work closely with data engineers, data scientists, business analysts, and other stakeholders to align data strategy with business objectives.
• Create and maintain comprehensive documentation for data models, architecture designs, data flows, and data management processes.
• Develop and enforce policies and procedures to ensure data security, integrity, and availability.

Required Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to translate business requirements into technical solutions.

Working Experience and Qualification:

Education: Bachelor?s or master?s degree in Computer Science, Information Technology, Data Science, or related field.

Experience: Proven experience of 8-10 years as a Data Architect or in a similar role, with a track record of designing complex data architectures.

Skills:

• Expertise in database technologies (SQL, NoSQL, Hadoop, Cassandra, etc.).
• Strong experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing.
• Proficient in data modeling tools and techniques.
• Knowledge of ETL frameworks and data integration tools (e.g., Apache Nifi, Talend, Informatica).
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with programming languages like Python, Java, or Scala.
• Knowledge of data governance and security practices.

Preferred Skills:

• Experience with big data technologies such as Apache Spark, Kafka, or Flink.
• Familiarity with machine learning or artificial intelligence frameworks for data analysis.
• Knowledge of industry standards for data management (e.g., DAMA, TOGAF).