932 Database Architect jobs in India

• Managing Database access Security Checks Assessment create and maintain users' login and roles assign privileges Password Management etc
• Managing Database backups and restores including restores from Snapshots.
• Database Build Installation configuration OEM Service now tickets Idera New Relic Sumo
• Logic Emails
• Starting and stopping database services.
• Managing database related storage issues space management.
• Creation of Database Configuration Items in Service now and maintaining inventory
• Central Inventory Management
• CPU Utilization, Long running query, Apply latest patches to database servers
• Ensure best practice security standards are applied to database servers
• Database Refresh restores and cloning from Prod to nonprod
• Database performance tuning
• Follow best practice methods to commission and decommission database server
• Ensure database changes are applied with best practices and tested in lower environments
• prior to prod deployment, Script execution deployment
• Basic HADRRAC Cluster Data guard Replication Administration
• Manage RDS Instances across different environments including rightsizing
• Monitoring Tool User Setup
• Leverage Terraform State management capabilities to track changes and maintain the
• desired state for RDS sources
• Monitor Terraform execution logs and plan outputs to troubleshoot provisioning issues and
• ensure RDS instances are provisioned as expected
• Snowflake Troubleshooting Table locking issue
• Snowflake SSL certificate deployment
• PostgreSQL Kerberos user Management, PostgreSQL Database Vacuum
• MySQL Objects partition LOB, Materialized view log maintenance
• MongoDB SSRS Key storage locations, MongoDB Transparent Data Encryption TDE
• MongoDB Row Level Encryption, MongoDB Logs compression
• MSSQL SSIS Package deployment Migration
• MSSQL SSRS Migration Update data source Migrate deploy reports etc
• MSSQL IP Whitelisting on MSSQL RDS instances
• Oracle OEM configuration Maintenance and enable Monitoring
• Oracle OMS version Migration and Upgradation
• Oracle Data guard Setup and DGMGRL configuration
• Oracle Installing Oracle server and client software
• Oracle Terraform Version and AWS version updates on all git hub repository
• Oracle Refresh RDS instance Point Intime using Snapshots
• Oracle RAC Build activities Grid Oracle Installation and cluster database creation
• Oracle Option Group Management on AWS Cloud
• Oracle Time zone Upgrade activities via OG in Terraform

Mandatory Skills: Mongo DBA, MySQL DBA, Redis DBA, Sybase DBA, Azure Database Service, AWS Database Service, GoldenGate-DB Administration, PostgreSQL-DB Administration, Cassandra DBA, Oracle DB Administration, MS SQL DB Administration, GCP Database Services, Couch DBA, DB2-LUW DB Administration, MariaDB, Maria DBA

We are seeking a Database Architect with expert-level knowledge in database design, data modeling, and AWS RDS. The candidate will be responsible for creating optimized data structures and ensuring database performance and reliability.

Design and implement scalable and normalized database schemas

Manage RDS instances on AWS.

Conduct performance tuning and optimization

Collaborate with application teams to ensure data model alignment.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

•   Creating database solutions, evaluating requirements, and preparing design reports 
•   Design and implement effective database solutions and models to store and retrieve company data.
•   Examine and identify database structural necessities by evaluating client operations, applications, and programming.
•   Assess database implementation procedures to ensure they comply with internal and external regulations.
•   Install and organize information systems
•   Prepare accurate database design and architecture reports for management and executive teams.
•   Oversee the migration of data from legacy systems to new solutions.
•   Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
•   Recommend solutions to improve new and existing database systems.
•   Educate staff members through training and individual support. Offer support by responding to system problems in a timely manner.

Job Title :
Database Architect

Experience :
12 years (Relevant 7+yr)

Location :
Bangalore

Working Mode
- Hybrid

Responsibilities

• Design and implement scalable, secure, high-performance database architectures.
• Define data models, indexing, and optimization strategies.
• Lead cloud migration efforts (AWS, Azure, GCP).
• Optimize queries and support DevOps/CI-CD automation.
• Ensure HA/DR, backup, and compliance with data security.
• Evaluate and adopt new database technologies.

Requirements

• 12+ years in database architecture & administration.
• Strong expertise in SQL Server, Oracle, MySQL, PostgreSQL.
• Experience with NoSQL (MongoDB, Cassandra, DynamoDB).
• Skilled in SQL, performance tuning, and cloud databases.
• Knowledge of ETL, data warehousing, and database security.

Preferred

• Cloud certifications (AWS, Azure, GCP).
• Familiarity with Terraform/CloudFormation, Hadoop, Spark.
• Experience in legacy modernization & hybrid cloud.

)

About the Company: Eton Solutions is a hypergrowth fintech transforming the Family Office segment of the Wealth Management industry. Eton's AtlasFive is a comprehensive enterprise management platform specifically designed to allow today's modern Family Office meet the unique and varied challenges of Ultra High Net Worth families.

For More details visit:

POSITION SUMMARY (Key tasks and outcomes):

This role is responsible for leading a team of engineers in a specific project or domain. They provide technical direction, oversee project execution, and ensure that deliverables are met within defined timelines and quality standards. Lead Engineers often have strong technical expertise and guide their team members, facilitate communication, resolve technical challenges, and drive innovation and process improvement.

Job Description:
• Should be expertise on SQL Query, Stored Procedure, Functions, Views.
• Hands on experience on Azure - Logic App, ADF, SSIS, SSRS.
• Designing and reviewing code performance.
• Experience on COA/ Benchmark/Security Master/ CRM/ Transaction Processing/ Position Recon/ FA/ Taxation is good to have.
• Should be certified on Azure Fundamentals (AZ-900) and have Azure App Insights.
• Researching, designing, implementing, and managing software programs.
• Testing and evaluating new programs.
• Identifying areas for modification in existing programs and subsequently developing these modifications.
• Writing and implementing efficient code.
• Determining operational practicality.
• Developing quality assurance procedures.
• Deploying software tools, processes, and metrics.
• Maintaining and upgrading existing systems.
• Working closely with other developers, UX designers, business and systems analysts.

Experience (Years and types): Must have 8 – 12 years of work experience with relevant skills.

Skills and Abilities and Other Characteristics:
• Enthusiastic team player who enjoys both strategic and hands on work.
• Cross functional collaboration and time management skills.
• People management with mentoring and coaching skills.
• Should be proficient in computer literacy, MS Office and Typing skills.
• Ability to analyze problems and develop creative solutions to complex product issues.
• Strong interpersonal, communication, and the ability to work effectively with all levels of employees

About Impact Analytics

Impact Analytics (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year's inputs to forecast and plan this year's business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors.
In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention
. Here's a link to our website:

Some of our accolades include:

• Ranked as one of
  America's Fastest-Growing Companies
  by
  Financial Times
  for
  five
  consecutive years:
• Ranked as one of
  America's Fastest-Growing Private Companies
  by
  Inc. 5000
  for
  seven
  consecutive years:
• Ranked
  #72
  in
  America's Most Innovative Companies
  list in
  2023
  —by
  Fortune
  — alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Recognized in multiple
  Gartner reports
  , including
  Market Guides
  and
  Hype Cycle
  , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

About the Role

• Analyze database design and architecture requirements for the distributed applications
• Design the databases for the microservices with well-defined bounded context and interaction
• Develop, construct, test, and maintain existing and new data-driven architectures
• Align architecture with business requirements and provide solutions that fits best to solve the business problems
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources on the Cloud (AWS / GCP). Using well-defined ETL tools like PySpark, Data Flow
• Data acquisition and clean-up from multiple sources across the organization
• Design custom tools to collate the data
• Identify ways to improve data reliability, efficiency, and quality
• Develop automated tasks for data operations
• Deliver updates to stakeholders based on analytics
• Set up practices on data reporting and continuous monitoring using Prometheus, ELK or a similar tool

What lands you in this role

• Seven or more years as a hands-on technologist with a good mix of application development and database development.
• Expert Level SQL, PostgreSQL, including stored procedures, functions, triggers, and views.
• Strong understanding of database design and modeling.
• Ability to efficiently write database code without compromising data quality, privacy, or security.
• Knowledge of database design principles, query optimization, index management, integrity checks, statistics, partitioning, and isolation levels
• Good understanding of PostgreSQL replication, high availability, and clustering across availability zones and regions
• Good understanding of Database backup and restore to align with data laws
• Participate in an agile software development life cycle including providing testing guidelines for database-related changes.
• Good understanding of Programming language, preferably Python for custom scripts
• Understanding No SQL and in-memory databases is a value add

About The Role  

What we want:

- Analyze current database systems, including relational and non-relational databases, to identify inefficiencies, bottlenecks, and scalability issues.
- Develop a comprehensive re-architecture plan that includes database schema redesign, index optimization, query optimization, and improved data models.
- Lead initiatives to migrate databases to cloud platforms (AWS, Azure, Google Cloud, etc.) or hybrid cloud solutions, ensuring minimal downtime and data integrity.
- Optimize the database for performance, ensuring faster query execution times, efficient indexing, and improved data access speed.
- Ensure that all database re-architecture efforts comply with industry best practices for data integrity, privacy, and security, including encryption and backup strategies.
- Work closely with software engineering teams, DevOps, and infrastructure teams to align database re-architecture efforts with overall system architecture and application goals.
- Implement strategies for scaling the database to handle increasing load, and design systems for high availability and disaster recovery.
- Create detailed documentation for the new database architecture, including data flow diagrams, schema changes, indexing strategies, and operational guides.
- Stay updated with the latest database technologies and methodologies, recommending continuous improvements to the database architecture.
- Provide guidance and support to internal teams on best practices for database design, performance tuning, and cloud-based database solutions.

What you offer:

- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- 5+ years of experience in database architecture, design, and administration.
- Proven track record of leading large-scale database re-architecture projects.
- Expertise in relational databases (e.g., MySQL, PostgreSQL, Oracle) and non-relational databases (e.g., MongoDB, Cassandra). QLIK, Goldengate
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, specifically in migrating and managing databases.
- Deep understanding of database performance tuning, query optimization, and indexing strategies.
- Strong knowledge of data security and privacy standards.
- Experience with database replication, sharding, and high availability strategies.
- Excellent problem-solving and communication skills.

Title: Database Architect

Location: Hyderabad, India (Need to work from Experian- Hyderabad office at least 3 days in a week from day one)

We are seeking a highly skilled Database Architect to design, implement, and optimize our data infrastructure. In this role, you will be responsible for developing robust, scalable, and secure database solutions that support our business applications and analytics platforms. You will work closely with engineering, data science, and DevOps teams to ensure data integrity, performance, and availability across the organization.

Key Responsibilities

• Design and implement scalable database architectures for transactional and analytical workloads.
• Develop data models, schemas, and storage strategies that align with business requirements and performance goals.
• Define and enforce database standards, best practices, and governance policies.
• Collaborate with application developers and data engineers to optimize queries, indexing strategies, and data access patterns.
• Lead database migration, replication, and backup/recovery strategies across cloud and on-prem environments.
• Monitor and tune database performance, ensuring high availability and disaster recovery readiness.
• Evaluate and recommend new database technologies, tools, and platforms.
• Provide technical leadership and mentorship to database administrators and data engineers.

Qualifications

• 8+ years of experience in database architecture, design, and administration.
• Expertise in relational databases (e.g., PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
• Strong understanding of data modeling, normalization, and schema design.
• Experience with cloud platforms (preferably AWS) and managed database services.
• Proficiency in performance tuning, query optimization, and database security.
• Familiarity with Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines.
• Excellent problem-solving, communication, and documentation skills.

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us
We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You'll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.
• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.
• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.
• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.
• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.
• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.
• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.
• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).
• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.
• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.
• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.
• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.
• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.
• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.
• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).
• Exposure to Go/Java for stream processors/consumers.
• Lakehouse formats (Delta/Iceberg/Hudi).

Skills:- PostgreSQL, Apache Kafka, CI/CD, Apache Airflow, Slowly changing dimensions, Artificial Intelligence (AI) and Machine Learning (ML)