110 Database Architect jobs in Hyderabad

Roles and Responsibilities

• Design, develop, and maintain large-scale databases on AWS using Oracle DBMS.
• Collaborate with cross-functional teams to identify database requirements and implement solutions.
• Develop complex SQL queries to optimize database performance and troubleshoot issues.
• Ensure high availability, scalability, and security of the database infrastructure.
• Provide technical guidance to junior team members on database design principles and best practices.

Desired Candidate Profile

• 10-14 years of experience in Oracle Database Development with expertise in Oracle DBA tasks.
• Strong understanding of AWS services such as EC2, S3, RDS, Lambda etc. .
• Proficiency in writing complex SQL queries for query optimization and troubleshooting purposes.
• Experience working with Agile methodologies (Scrum) is an added advantage.

We are seeking a highly skilled and hands-on Database Lead / Architect with expertise across relational, NoSQL, and in-memory databases. This role demands deep technical mastery, particularly with Aerospike 8.0 and/or MongoDB , combined with strong proficiency in traditional RDBMS (Oracle, SQL Server, MySQL, PostgreSQL) and Redis. The candidate must be capable of designing enterprise-scale systems from scratch , implementing advanced business logic in SQL/NoSQL, and ensuring performance, scalability, and high availability.

Responsibilities

Architecture & System Design

• Design and lead end-to-end database architectures for high-concurrency, mission-critical applications.
• Architect hybrid solutions combining RDBMS, NoSQL (Aerospike 8.0, MongoDB), and Redis for caching.
• Implement partitioning, sharding, replication, clustering, and geo-distributed strategies for scalability.
• Leverage in-memory indexes and advanced Aerospike 8.0 features (e.g., strong consistency namespaces, secondary indexes, XDR, UDFs).
• Apply MongoDB advanced concepts : multi-document transactions, aggregation pipelines, sharding, replica sets, time-series collections.

Database Development & Business Logic

• Develop complex business logic using SQL (PL/SQL, T-SQL, PostgreSQL functions, MySQL routines) and NoSQL frameworks.
• Write and optimize UDFs, stored procedures, and advanced query pipelines across multiple databases.
• Standardize best practices for schema design, indexing, and query optimization.

Performance & Scalability

• Conduct deep performance tuning at query, schema, and cluster levels.
• Implement in-memory caching strategies (Redis, Aerospike in-memory mode).
• Optimize database access patterns for low-latency, high-throughput workloads.
• Monitor, analyze, and resolve performance bottlenecks using query analyzers, profiling tools, and cluster metrics .

Leadership & Collaboration

• Act as the technical authority for database solutions within the organization.
• Lead design reviews, mentor developers, and enforce coding standards.
• Collaborate with application architects, data engineers, and DevOps teams to integrate databases seamlessly.
• Evaluate emerging database technologies (e.g., NewSQL, cloud-native DBs) and recommend adoption.

Required Skills & Qualifications

• RDBMS Expertise : Oracle PL/SQL, MS SQL Server (T-SQL), MySQL, PostgreSQL.
• NoSQL Expertise :
• Aerospike 8.0 : namespaces, strong consistency, geo-distributed clusters, XDR, UDFs, secondary indexes, hybrid memory models.
• MongoDB : replica sets, sharding, aggregation framework, time-series collections, advanced indexing.
• In-memory databases : Redis (clustering, pub/sub, streams).
• Strong proficiency in partitioning, sharding, clustering, replication, and HA/DR strategies .
• Proven track record of designing database systems from scratch for large-scale, real-time applications.
• Deep knowledge of performance tuning, query optimization, and indexing strategies .

Preferred Qualifications

• Cloud-native database services: AWS (Aurora, DynamoDB, DocumentDB), Azure Cosmos DB, GCP Spanner.
• Exposure to streaming platforms (Kafka, Pulsar) and big data ecosystems (Spark, Hadoop).
• Knowledge of microservices database integration patterns.
• Advanced degree in Computer Science, Information Systems, or related field.

We are seeking a highly skilled and hands-on Database Lead / Architect with expertise across relational, NoSQL, and in-memory databases. This role demands deep technical mastery, particularly with Aerospike 8.0 and/or MongoDB , combined with strong proficiency in traditional RDBMS (Oracle, SQL Server, MySQL, PostgreSQL) and Redis. The candidate must be capable of designing enterprise-scale systems from scratch , implementing advanced business logic in SQL/NoSQL, and ensuring performance, scalability, and high availability.

Responsibilities

Architecture & System Design

• Design and lead end-to-end database architectures for high-concurrency, mission-critical applications.
• Architect hybrid solutions combining RDBMS, NoSQL (Aerospike 8.0, MongoDB), and Redis for caching.
• Implement partitioning, sharding, replication, clustering, and geo-distributed strategies for scalability.
• Leverage in-memory indexes and advanced Aerospike 8.0 features (e.g., strong consistency namespaces, secondary indexes, XDR, UDFs).
• Apply MongoDB advanced concepts : multi-document transactions, aggregation pipelines, sharding, replica sets, time-series collections.

Database Development & Business Logic

• Develop complex business logic using SQL (PL/SQL, T-SQL, PostgreSQL functions, MySQL routines) and NoSQL frameworks.
• Write and optimize UDFs, stored procedures, and advanced query pipelines across multiple databases.
• Standardize best practices for schema design, indexing, and query optimization.

Performance & Scalability

• Conduct deep performance tuning at query, schema, and cluster levels.
• Implement in-memory caching strategies (Redis, Aerospike in-memory mode).
• Optimize database access patterns for low-latency, high-throughput workloads.
• Monitor, analyze, and resolve performance bottlenecks using query analyzers, profiling tools, and cluster metrics .

Leadership & Collaboration

• Act as the technical authority for database solutions within the organization.
• Lead design reviews, mentor developers, and enforce coding standards.
• Collaborate with application architects, data engineers, and DevOps teams to integrate databases seamlessly.
• Evaluate emerging database technologies (e.g., NewSQL, cloud-native DBs) and recommend adoption.

Required Skills & Qualifications

• RDBMS Expertise : Oracle PL/SQL, MS SQL Server (T-SQL), MySQL, PostgreSQL.
• NoSQL Expertise :
• Aerospike 8.0 : namespaces, strong consistency, geo-distributed clusters, XDR, UDFs, secondary indexes, hybrid memory models.
• MongoDB : replica sets, sharding, aggregation framework, time-series collections, advanced indexing.
• In-memory databases : Redis (clustering, pub/sub, streams).
• Strong proficiency in partitioning, sharding, clustering, replication, and HA/DR strategies .
• Proven track record of designing database systems from scratch for large-scale, real-time applications.
• Deep knowledge of performance tuning, query optimization, and indexing strategies .

Preferred Qualifications

• Cloud-native database services: AWS (Aurora, DynamoDB, DocumentDB), Azure Cosmos DB, GCP Spanner.
• Exposure to streaming platforms (Kafka, Pulsar) and big data ecosystems (Spark, Hadoop).
• Knowledge of microservices database integration patterns.
• Advanced degree in Computer Science, Information Systems, or related field.

We are seeking a highly skilled and hands-on Database Lead / Architect with expertise across relational, NoSQL, and in-memory databases. This role demands deep technical mastery, particularly with Aerospike 8.0 and/or MongoDB , combined with strong proficiency in traditional RDBMS (Oracle, SQL Server, MySQL, PostgreSQL) and Redis. The candidate must be capable of designing enterprise-scale systems from scratch , implementing advanced business logic in SQL/NoSQL, and ensuring performance, scalability, and high availability.

Responsibilities

Architecture & System Design

• Design and lead end-to-end database architectures for high-concurrency, mission-critical applications.
• Architect hybrid solutions combining RDBMS, NoSQL (Aerospike 8.0, MongoDB), and Redis for caching.
• Implement partitioning, sharding, replication, clustering, and geo-distributed strategies for scalability.
• Leverage in-memory indexes and advanced Aerospike 8.0 features (e.g., strong consistency namespaces, secondary indexes, XDR, UDFs).
• Apply MongoDB advanced concepts : multi-document transactions, aggregation pipelines, sharding, replica sets, time-series collections.

Database Development & Business Logic

• Develop complex business logic using SQL (PL/SQL, T-SQL, PostgreSQL functions, MySQL routines) and NoSQL frameworks.
• Write and optimize UDFs, stored procedures, and advanced query pipelines across multiple databases.
• Standardize best practices for schema design, indexing, and query optimization.

Performance & Scalability

• Conduct deep performance tuning at query, schema, and cluster levels.
• Implement in-memory caching strategies (Redis, Aerospike in-memory mode).
• Optimize database access patterns for low-latency, high-throughput workloads.
• Monitor, analyze, and resolve performance bottlenecks using query analyzers, profiling tools, and cluster metrics .

Leadership & Collaboration

• Act as the technical authority for database solutions within the organization.
• Lead design reviews, mentor developers, and enforce coding standards.
• Collaborate with application architects, data engineers, and DevOps teams to integrate databases seamlessly.
• Evaluate emerging database technologies (e.g., NewSQL, cloud-native DBs) and recommend adoption.

Required Skills & Qualifications

• RDBMS Expertise : Oracle PL/SQL, MS SQL Server (T-SQL), MySQL, PostgreSQL.
• NoSQL Expertise :
• Aerospike 8.0 : namespaces, strong consistency, geo-distributed clusters, XDR, UDFs, secondary indexes, hybrid memory models.
• MongoDB : replica sets, sharding, aggregation framework, time-series collections, advanced indexing.
• In-memory databases : Redis (clustering, pub/sub, streams).
• Strong proficiency in partitioning, sharding, clustering, replication, and HA/DR strategies .
• Proven track record of designing database systems from scratch for large-scale, real-time applications.
• Deep knowledge of performance tuning, query optimization, and indexing strategies .

Preferred Qualifications

• Cloud-native database services: AWS (Aurora, DynamoDB, DocumentDB), Azure Cosmos DB, GCP Spanner.
• Exposure to streaming platforms (Kafka, Pulsar) and big data ecosystems (Spark, Hadoop).
• Knowledge of microservices database integration patterns.
• Advanced degree in Computer Science, Information Systems, or related field.

Database Management:

• Manage rotation of existing database lists containing million+ records

• Implement proper rotation schedule: active lists for 4-5 days maximum, then 28-30 day cooling period

• Import and process new weekly leads after suppression list processing

• Monitor and analyze list performance metrics

• Reset dispositions as needed

Dialer Administration:

• Maintain DID (Direct Inward Dialing) hygiene and reputation management

• Monitor spam likelihood status across all DIDs

• Order new DIDs monthly through current provider

• Ensure clean number inventory with no extended wait times

• Monitor team connect rates and take corrective action when needed

Daily Operations:

• Continuous monitoring throughout business hours

• Add/rotate data proactively to prevent agent downtime

• Analyze performance exceptions and adjust strategies accordingly

• Maintain optimal call center efficiency and agent productivity

Required Skills:

• Experience with call center dialer systems and administration

• Strong analytical skills for database performance analysis

• Knowledge of DID management and telecommunications

• Ability to work independently with minimal supervision

• Attention to detail for large-scale data management

• Proactive problem-solving approach

Ideal Candidate:

• Previous experience in call center operations or dialer administration

• Familiarity with lead management and database rotation strategies

• Understanding of spam compliance and reputation management

• Ability to work EST hours consistently

• Strong communication skills for reporting and coordination

We are seeking a highly motivated and experienced Lead Data Controller to join our dynamic team and drive improvements in our data management processes.

We are looking for a proactive and experienced Lead Data Controller to take ownership of the timely and complete receipt of critical financial data elements within our Controllers department. This is a crucial role that requires strong leadership, meticulous attention to detail, and a deep understanding of data flows within financial services. The candidate will be instrumental in ensuring the quality and availability of data for all reporting purposes, leading a small team, and collaborating extensively with various stakeholders.

Responsibilities include identification of risks, design of effective controls, and oversight of production activities such as data sourcing, processing, analyzing, and reviewing the output while ensuring that the activities are conducted in a controlled environment.

Role & responsibilities

• 5+ years of experience in a data-focused role within the financial services industry (e.g., banking, asset management, insurance).
• Ability to understand inherent risks within data
• Strong understanding of financial products, their underlying risks, and how to design a strong robust control environment around those risks
• Proven experience leading a small team and proven experience of owning processes front to back
• Exceptional communication and interpersonal skills, with the ability to effectively engage with technical and non-technical stakeholders at all levels.
• Demonstrable experience in data reconciliation, validation, and quality assurance.
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Qualified CA/CFA/ICWA/MBA
• Understanding of change management discipline and ability to collaborate effectively
• Intuitive; fast learner with good problem-solving skills.
• Extensive hands-on experience with AxiomSL (or comparable enterprise-level financial reporting and data management system)
• Experience with data science concepts, methodologies, or tools (e.g., Python, R, machine learning for anomaly detection, data visualization) applied to financial data.
• Familiarity with data governance frameworks and best practices.

Job Expectations

Data Oversight & Delivery:

• Act as the primary point of contact for all data inflow into International Controllers by ensuring data is received accurately, completely, and on schedule for reporting deadlines.
• Develop, implement, and maintain robust data reconciliation and validation processes to guarantee data integrity.
• Proactively identify and resolve data discrepancies, working closely with upstream data providers and source system owners.
• Monitor data quality metrics and report on data completeness and accuracy to senior management.
• Drive continuous improvement initiatives related to data acquisition, processing, and quality within Controllers.
• Ensure operational documentation is maintained, and is best in class

Team Leadership and Development:

• Lead, mentor, and develop a small team of Data Controllers, fostering a collaborative and high-performing environment.
• Allocate tasks, manage workloads, and ensure efficient operation of the data control function.
• Contribute to the hiring and onboarding of new team members as needed.

Stakeholder Management:

• Collaborate effectively with various internal departments, including Technology, Operations, and other finance functions, to ensure seamless data flow and resolve issues.
• Provide relevant control metrics as required to facilitate oversight and governance
• Communicate clearly and concisely with stakeholders regarding data status, issues, and resolutions.
• The above individual contributor' tasks, this role will directly support the Financial and Regulatory Reporting Teams