1,640 Database Architect jobs in India

Job Description:

We are seeking a senior-level data professional to support large-scale data operations across ~200 servers. The role combines data analysis, architecture, and DBA responsibilities to improve data accessibility, performance, and retention.

Key Responsibilities:

• Review and interpret data across ~200 servers.
• Define and enforce data retention policies.
• Lead database performance tuning and optimization.
• Support data structure design and storage strategies.
• Ensure data reliability, security, and scalability.

Requirements:

• Proven experience in data analysis and architecture.
• Strong DBA background with hands-on optimization work.
• Familiar with data governance and retention practices.
• Proficient in both relational and non-relational databases.

Company Overview:

Mission Statement: At Culinary Digital, we empower multi-location food service providers by delivering tailored SaaS solutions that enhance efficiency, control costs, and boost profitability. Through unparalleled customization, real-time data insights, and customer-centric innovations, we optimize operations and elevate customer engagement and satisfaction.

Vision Statement: To be the leading provider of innovative, data-driven SaaS solutions for the food service industry, transforming operational excellence and customer experiences through unparalleled customization, real-time insights, and unwavering commitment to customer satisfaction.

Culinary Digital is dedicated to revolutionizing the food service industry through cutting-edge technology and exceptional service. We strive to create value for our clients by offering scalable, innovative solutions that streamline operations, provide deep insights, and foster exceptional customer experiences. Our commitment to excellence and continuous improvement ensures that we remain at the forefront of industry advancements, driving growth and success for our clients.

Position Overview:

As a Data Architect, you will lead the evolution of our data platform, defining and implementing a scalable, cloud-based data architecture to support our rapid growth and AI-assisted transformation. You will play a key role in migrating to a “to-be” architecture, ensuring seamless data integration, performance optimization, and security across relational and non-relational databases.

You will collaborate closely with engineering, product, data manager, and business teams to design and implement data solutions that support our SaaS platform, AI-driven automation initiatives, analytics, and operational excellence. As part of an Agile/Scrum environment, you will ensure our data infrastructure aligns with modern cloud-native best practices and enables rapid innovation.

Key Responsibilities:

Data Architecture & Strategy

• Design and implement a scalable, high-performance data architecture for a cloud-based SaaS platform.

• Develop a roadmap for modernizing the data ecosystem, supporting AI-assisted coding and test automation.

• Define and enforce data governance standards, ensuring data integrity, security, and compliance with best practices.

• Lead the migration and transformation from existing architectures to a future-state model, optimizing for growth, resilience, and AI capabilities.

• Re-architect complex database structures, including various data models, relationships, and schema, to optimize performance and scalability.

• Design and implement backup, recovery, purging, and archival strategies to protect against data loss while maintaining system efficiency.

Database & Data Engineering

• Architect relational (SQL Server 2019, T-SQL) and non-relational (NoSQL) databases to support application and analytics needs.

• Optimize database performance, indexing strategies, and query execution for scalable SaaS applications.

• Develop data pipelines (ETL, APIs) for seamless integration across applications, third-party services, and AI tools and models.

Cloud & Integration

• Design cloud-native data solutions leveraging Azure.

• Define best practices for data integration, API-based connectivity (ServiceStack, WCF), and microservices architectures.

• Ensure scalability, availability, and disaster recovery strategies are in place for all data solutions.

Security & Compliance

• Establish data security best practices, including encryption, access control, and compliance (SOC 2, HIPAA, ISO27001).

• Lead efforts to improve data privacy and implement role-based access control (RBAC) and identity management.

Collaboration & Leadership

• Partner with engineering teams to guide data-driven application development, particularly in .NET (C#), JavaScript (React, Redux), and SQL environments.

• Collaborate with AI/ML teams to support AI-driven automation, data modeling, and predictive analytics initiatives.

• Mentor data engineers and developers in best practices for data modeling, performance tuning, and cloud-based architectures.

• Work in an Agile/Scrum environment, participating in sprint planning, backlog refinement, and cross-functional collaboration.

Qualifications:

• 7+ years of experience in data architecture, database design, and cloud-based data solutions.

• Strong knowledge of SQL Server 2019 (T-SQL), and NoSQL databases.

• Experience with ETL, data integration, and API-based data exchanges.

• Expertise in cloud platforms (Azure, AWS, or GCP) for data infrastructure.

• Strong proficiency in data modeling tools and techniques.

• Experience designing and implementing secure, compliant data solutions.

• Prior experience in Agile/Scrum environments with a strong understanding of iterative development.

Location: Gurugram, HR

Workplace Type: Onsite

Role Description

We are looking for a hands-on Database Developer with deep expertise in database migration AWS RDS, AWS DMS, and NoSQL databases. The ideal candidate will have experience working environments and leading the transformation of legacy data platforms to modern cloud-native .

Key Responsibilities

1. Design and develop database solutions for enterprise-scale applications using PostgreSQL and NoSQL databases (e.g., DynamoDB, MongoDB)

2. Lead and execute end-to-end database migration projects using AWS DMS (Database Migration Service)

3. Perform schema conversion, data transformation, and migration planning from on-premise or legacy databases (e.g. Oracle, MySQL, SQL Server) to AWS RDS / Aurora PostgreSQL

4. Configure, monitor, and optimize RDS/PostgreSQL environments for performance, availability, and cost

5. Develop stored procedures, functions, and data pipelines to support application needs and reporting

6. Analyze and resolve data-related issues including quality, integrity, and performance bottlenecks

7. Collaborate with cloud architects, application developers, and DevOps teams on data migration and integration strategies

8. Ensure adherence to security, backup/recovery, and compliance best practices in cloud-hosted databases.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field

• 11- 17 years of experience as a database developer

• Strong hands-on experience with:

◦ PostgreSQL development and optimization

 ◦ AWS RDS/Aurora PostgreSQL administration

◦ AWS DMS for data replication and migration

◦ NoSQL databases such as DynamoDB or MongoDB

• Experience migrating databases from on-premises to AWS cloud (rehost/refactor)

• Solid understanding of data modeling, normalization, and indexing strategies

• Familiarity with ETL tools, SQL performance tuning, and cloud-native data solutions

• Strong scripting skills in SQL, Python, or shell for automation and transformation

Exposure to CI/CD pipelines for database changes (Flyway, Liquibase, etc.)

Job Description: DBA

Looking for highly skilled Database Architect (DBA) with deep expertise in PostgreSQL to design, manage, and optimize our database infrastructure. The ideal candidate will be responsible for ensuring high availability, performance, and scalability of PostgreSQL databases. This role involves working closely with development teams to design database solutions that meet both application requirements and best practices for data management and security.

Education Qualifications:

• B.Tech (CS/IT)/MCA

Key Responsibilities:

• Design, implement, and manage high-performance, scalable PostgreSQL database systems.
• Optimize database performance through indexing, query tuning, and other optimization techniques.
• Ensure data integrity, security, and disaster recovery through effective backup strategies, replication, and failover mechanisms.
• Monitor database performance and proactively resolve performance bottlenecks.
• Implement best practices for database architecture, including partitioning, sharing, and clustering.
• Perform regular database health checks, patching, and version upgrades.
• Manage users, roles, and database access permissions to ensure data security.
• Troubleshoot database issues and provide timely resolution.
• Stay updated with the latest PostgreSQL features and advancements to improve database performance and scalability

Required Skills & Qualifications:

• Proven experience as a Database Architect or DBA, with expertise in PostgreSQL.
• Strong proficiency in designing and optimizing PostgreSQL databases.
• Experience with database replication, partitioning, clustering, and sharding.
• Proficiency in query tuning, performance optimization, and indexing strategies.
• Strong knowledge of SQL and PostgreSQL-specific features such as PL/pgSQL, triggers, and stored procedures.

Experience with PostgreSQL backup and restore processes, including logical and physical backups.

• Knowledge of database monitoring tools and techniques
• Experience with database migration strategies and tools 

Company Overview:

Mission Statement: At Culinary Digital, we empower multi-location food service providers by delivering tailored SaaS solutions that enhance efficiency, control costs, and boost profitability. Through unparalleled customization, real-time data insights, and customer-centric innovations, we optimize operations and elevate customer engagement and satisfaction.

Vision Statement: To be the leading provider of innovative, data-driven SaaS solutions for the food service industry, transforming operational excellence and customer experiences through unparalleled customization, real-time insights, and unwavering commitment to customer satisfaction.

Culinary Digital is dedicated to revolutionizing the food service industry through cutting-edge technology and exceptional service. We strive to create value for our clients by offering scalable, innovative solutions that streamline operations, provide deep insights, and foster exceptional customer experiences. Our commitment to excellence and continuous improvement ensures that we remain at the forefront of industry advancements, driving growth and success for our clients.

Position Overview:

As a Data Architect, you will lead the evolution of our data platform, defining and implementing a scalable, cloud-based data architecture to support our rapid growth and AI-assisted transformation. You will play a key role in migrating to a “to-be” architecture, ensuring seamless data integration, performance optimization, and security across relational and non-relational databases.

You will collaborate closely with engineering, product, data manager, and business teams to design and implement data solutions that support our SaaS platform, AI-driven automation initiatives, analytics, and operational excellence. As part of an Agile/Scrum environment, you will ensure our data infrastructure aligns with modern cloud-native best practices and enables rapid innovation.

Key Responsibilities:

Data Architecture & Strategy

• Design and implement a scalable, high-performance data architecture for a cloud-based SaaS platform.

• Develop a roadmap for modernizing the data ecosystem, supporting AI-assisted coding and test automation.

• Define and enforce data governance standards, ensuring data integrity, security, and compliance with best practices.

• Lead the migration and transformation from existing architectures to a future-state model, optimizing for growth, resilience, and AI capabilities.

• Re-architect complex database structures, including various data models, relationships, and schema, to optimize performance and scalability.

• Design and implement backup, recovery, purging, and archival strategies to protect against data loss while maintaining system efficiency.

Database & Data Engineering

• Architect relational (SQL Server 2019, T-SQL) and non-relational (NoSQL) databases to support application and analytics needs.

• Optimize database performance, indexing strategies, and query execution for scalable SaaS applications.

• Develop data pipelines (ETL, APIs) for seamless integration across applications, third-party services, and AI tools and models.

Cloud & Integration

• Design cloud-native data solutions leveraging Azure.

• Define best practices for data integration, API-based connectivity (ServiceStack, WCF), and microservices architectures.

• Ensure scalability, availability, and disaster recovery strategies are in place for all data solutions.

Security & Compliance

• Establish data security best practices, including encryption, access control, and compliance (SOC 2, HIPAA, ISO27001).

• Lead efforts to improve data privacy and implement role-based access control (RBAC) and identity management.

Collaboration & Leadership

• Partner with engineering teams to guide data-driven application development, particularly in .NET (C#), JavaScript (React, Redux), and SQL environments.

• Collaborate with AI/ML teams to support AI-driven automation, data modeling, and predictive analytics initiatives.

• Mentor data engineers and developers in best practices for data modeling, performance tuning, and cloud-based architectures.

• Work in an Agile/Scrum environment, participating in sprint planning, backlog refinement, and cross-functional collaboration.

Qualifications:

• 7+ years of experience in data architecture, database design, and cloud-based data solutions.

• Strong knowledge of SQL Server 2019 (T-SQL), and NoSQL databases.

• Experience with ETL, data integration, and API-based data exchanges.

• Expertise in cloud platforms (Azure, AWS, or GCP) for data infrastructure.

• Strong proficiency in data modeling tools and techniques.

• Experience designing and implementing secure, compliant data solutions.

• Prior experience in Agile/Scrum environments with a strong understanding of iterative development.

What success looks like in this role:

Key Requirements:

#LI-SS1

You will be successful in this role if you have:

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

Job Description:

We are seeking a senior-level data professional to support large-scale data operations across ~200 servers. The role combines data analysis, architecture, and DBA responsibilities to improve data accessibility, performance, and retention.

Key Responsibilities:

• Review and interpret data across ~200 servers.
• Define and enforce data retention policies.
• Lead database performance tuning and optimization.
• Support data structure design and storage strategies.
• Ensure data reliability, security, and scalability.

Requirements:

• Proven experience in data analysis and architecture.
• Strong DBA background with hands-on optimization work.
• Familiar with data governance and retention practices.
• Proficient in both relational and non-relational databases.