Senior Data Architect

Overview

Position: Senior Data Architect

Loc: Bangalore

Exp: 5+ Years

Responsibilities

• Design and overseeing 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.
• Lead the design and implementation of data warehouses, data lakes, and other data storage solutions.
• Establish and enforce data governance policies and best practices.
• Ensure compliance to enterprise standards
• Drive a culture of standardization in data transformation and analytics logic and contribute to the evolution of those standards resulting from changing technologies and best practices across the enterprise.
• Influence and guide the evolution of data architecture standards across the enterprise.

Required:

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
• Overall 5-10 years of experience with at least 5 years of proven experience as a Data Architect or similar role.
• Strong knowledge of data modeling, data warehousing, and data integration techniques.
• Proficiency in database management systems (e.g., SQL Server, Oracle, PostgreSQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and data lake solutions (e.g., Azure Data Lake, AWS Lake Formation).
• o Experience with big data technologies data lake solutions DBMS and cloud platformso Experience in data modeling, ERDs, Star and/or Snowflake, and physical model design for analytics and application integrationo Experience in designing data pipelines for optimal performance, resiliency, and cost efficiencyo Experience translating business objectives and goals into technical architecture for data solutions.o
• Familiarity with cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform).
• Strong understanding of data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

o Track record for defining/implementing data architecture framework and governance around master data, meta data, modeling.

Job Type: Full-time

Pay: ₹3,000,000.00 - ₹3,600,000.00 per year

Application Question(s):

• How many years of experience do you have as a Data Engineer?
• Do you have experience in data modelling & data warehousing?
• How many years of experience do you have in data lake solutions (e.g., Azure Data Lake, AWS Lake Formation?
• How many years of experience do you have in Snowflake?
• How many years of experience do you have in cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform)?
• How many years of experience do you have in big data technologies (e.g., Hadoop, Spark) ?
• What is your expected CTC?

Work Location: In person