ARCHITECT - Data Architecture

Happiest Minds Technologies; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

Happiest Minds Technologies is seeking a Senior Data Architect to lead data architecture initiatives in Bengaluru. The role focuses on designing scalable data systems, building robust ETL/ELT pipelines, and delivering data products and APIs using DBX.

You will model data for data lakes, enforce governance, and apply BI concepts to drive data-driven decisions. Mentoring junior engineers and collaborating with cross-functional teams are key aspects of this role.

Qualifications

• 10-13 years of experience in data architecture and engineering.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in data management or architecture are a plus.
• Proven experience in data pipeline ETL/ELT and data product development.
• Strong knowledge of data modeling for data lakes and data governance.

Responsibilities

• Design and implement scalable data architecture solutions that meet business requirements.
• Develop and manage ETL/ELT data pipelines to ensure efficient data processing and integration.
• Collaborate with cross-functional teams to create data products and APIs using DBX.
• Model data for data lakes, ensuring optimal performance and accessibility.
• Implement data governance frameworks to ensure data quality, security, and compliance.
• Provide expertise in business intelligence tools and practices to support data-driven decision-making.
• Stay updated with industry trends and best practices in data architecture and management.
• Mentor and guide junior team members in data architecture and engineering practices.

Skills

Data architecture

ETL/ELT pipelines

Data modeling for data lakes

DBX APIs

Data governance

BI concepts/tools

Security/compliance

Cloud data solutions

Big data technologies

Data visualization

Communication & collaboration

Education

Bachelor's or Master's degree in Computer Science/IT

Certifications in data management or architecture

Tools

DBX

BI tools

Job description

Job Summary:

We are seeking a highly skilled Senior Data Architect with extensive experience in data architecture, data pipeline ETL/ELT processes, and data modeling. The ideal candidate will have a strong background in developing data products and APIs using DBX, as well as a solid understanding of data lakes, business intelligence, and data governance. This role requires a strategic thinker who can design and implement robust data solutions while ensuring data security and compliance.

Responsibilities:

• Design and implement scalable data architecture solutions that meet business requirements.
• Develop and manage ETL/ELT data pipelines to ensure efficient data processing and integration.
• Collaborate with cross-functional teams to create data products and APIs using DBX.
• Model data for data lakes, ensuring optimal performance and accessibility.
• Implement data governance frameworks to ensure data quality, security, and compliance.
• Provide expertise in business intelligence tools and practices to support data-driven decision-making.
• Stay updated with industry trends and best practices in data architecture and management.
• Mentor and guide junior team members in data architecture and engineering practices.

Mandatory Skills:

• Proven experience in data architecture with a focus on data pipeline ETL/ELT.
• Strong knowledge of data modeling for data lakes.
• Experience in developing data products and APIs using DBX.
• Expertise in data patterns, security, and governance implementation.
• Solid understanding of business intelligence concepts and tools.

Preferred Skills:

• Experience with cloud-based data solutions and platforms.
• Familiarity with big data technologies and frameworks.
• Knowledge of data visualization tools.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10-13 years of experience in data architecture and engineering.
• Relevant certifications in data management or architecture are a plus.