Database architect (12+ yr Immediate Joiner)

Job Summary

We are looking for an experienced Database Architect with strong expertise in Couchbase to design, implement, optimize, and maintain scalable, high-performance database solutions. The ideal candidate should have hands-on experience in NoSQL database architecture, data modeling, query optimization, indexing, and high availability.

Key Responsibilities

• Design and implement scalable, secure, and high-performance Couchbase database architectures.
• Develop efficient data models and document structures to support business and application requirements.
• Optimize SQL++ (formerly N1QL) queries, indexing strategies, and database performance.
• Configure and manage Couchbase clusters, replication, and high-availability environments.
• Implement backup, recovery, disaster recovery, and failover strategies.
• Monitor database performance, troubleshoot bottlenecks, and perform root-cause analysis.
• Plan database capacity, scalability, and resource utilization.
• Establish database security, access controls, and performance optimization standards.
• Collaborate with application developers, cloud engineers, and DevOps teams.
• Lead database architecture reviews and recommend best practices for database design and deployment.

Required Skills

• Minimum 6+ years of experience in database technologies, with strong hands-on expertise in Couchbase.
• Strong understanding of NoSQL databases and distributed database architecture.
• Expertise in Couchbase Server, SQL++/N1QL, indexing, and query optimization.
• Experience with data modeling, performance tuning, clustering, and replication.
• Knowledge of high availability, disaster recovery, backup, and recovery mechanisms.
• Experience with Linux and database monitoring and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Good to Have

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker and Kubernetes.
• Experience with database migration, automation, and scripting.
• Familiarity with CI/CD and infrastructure automation tools.

Candidate Requirements

• Experience: 6+ years
• Primary Skill: Couchbase Database Architecture
• Location: Bangalore
• Joining: Immediate joiners preferred/required
• Interview Process: Technical interview followed by managerial discussion

Key Responsibilities

Administer, monitor, and support database platforms including Couchbase, PostgreSQL, and Oracle.

Perform database performance tuning, optimization, and troubleshooting.

Write and optimize complex SQL queries, stored procedures, and scripts.

Ensure database availability, reliability, backup, recovery, and security compliance.

Support production incidents, root cause analysis, and ongoing operational improvements.

Collaborate with application, infrastructure, and support teams to resolve database-related issues.

Required Skills

5 to 10 years of hands-on experience in Database Administration.

Strong experience with Couchbase, PostgreSQL, and/or Oracle databases.

Expertise in performance tuning, query optimization, indexing, and SQL development (Complex Queries, Stored Procedures, Scripts)

Experience with database monitoring, backup, recovery, and maintenance activities.

Production Support, Troubleshooting & RCA

Strong analytical and troubleshooting skills.

Nice to Have

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to database automation and scripting

Senior Database Administrator (DBA)

Database Reliability & Performance  •  Senior Individual Contributor

• Experience: 6–9 years in production database administration / engineering
• Level: Senior Individual Contributor (hands-on)
• Function: Data Platform — reliability, performance, and governance across relational and distributed SQL & NoSQL DBs.

About the Role

We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL  end to end as we scale.

This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership — translating priorities into a well-run, well-documented data platform.

What You'll Own

PostgreSQL Depth

• Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination.
• Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle — creation, retention windows, and safe drops.
• Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning.
• Execute zero-downtime schema changes using expand–migrate–contract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables.
• Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows.
• Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL.

NoSQL & Scale

• Data-model, deploy, and operate distributed NoSQL clusters — Cassandra and/or ScyllaDB — including partition/clustering key design, compaction strategy, repair, and node operations (bootstrap, decommission, scale-out).
• Lead the planned migration of high-volume payload tables from partitioned PostgreSQL to Cassandra/ScyllaDB: capacity planning, dual-write/backfill design, cutover, and validation.
• Tune distributed-store read/write paths, consistency levels, and cluster sizing for predictable latency at scale.
• Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores.

Operations, Reliability & DR

• Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates).
• Define and regularly test backup and disaster-recovery strategy — RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness.
• Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions.
• Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer.
• Establish production-change discipline: pre-flight and post-deploy verification, rollback criteria, and backup verification before destructive operations.

Security, Governance & Documentation

• Implement and maintain database access control — least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation.
• Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows).
• Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team.
• Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements.

Coding & Automation Bar (Required)

This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it.

• Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks.
• Comfortable with infrastructure-as-code (e.g. Terraform) and configuration management (e.g. Ansible) for reproducible database infrastructure.
• Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix.
• Fluent with Git-based workflows, code review, and CI for database migrations and tooling.

Required Qualifications

• 6–9 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning).
• Hands-on experience running at least one distributed NoSQL store in production — Cassandra or ScyllaDB strongly preferred (other wide-column/distributed stores considered).
• Proven ownership of backup/DR, monitoring, and incident response for production databases.
• Strong scripting/automation background (Python, Bash) and experience with IaC.
• Experience with managed cloud databases (AWS RDS or equivalent) and understanding of instance/parameter-group tuning, replicas, and failover.
• Experience designing for multi-tenancy and data isolation at scale.
• Clear written communication — able to produce runbooks, ADRs, and governance docs a team can rely on.

Nice to Have

• Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations).
• Familiarity with Redis as a cache tier and with CDC / streaming pipelines (e.g. Kafka, Debezium).
• Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer.
• Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes.

How You Work

• Ownership mindset — takes a directive and runs it to done, with sound judgment on trade-offs.
• Reliability-first and detail-oriented; disciplined about verification, rollback, and documentation.
• Collaborative in a high-performing engineering team; communicates clearly with developers and leadership.
• Pragmatic and scale-aware — designs for where the platform is going, not just where it is.

Data Platform Engineer

Design, automate, and scale our data platform — this is an engineering role, not a traditional "DBA job.

Must-have :

• Data modeling & schema design (from first principles, not just maintenance)
• PostgreSQL (deep, hands-on — partitioning, replication, tuning)
• Any distributed NoSQL store (Cassandra, ScyllaDB, or similar wide-column/distributed DB) (real production experience)
• Python (automation & tooling, not just scripting)
• DevOps & CI/CD (building pipelines, not just using them)
• Terraform (infrastructure-as-code)

You'll:

• Design schemas, partitioning strategies, and lead the Postgres → Cassandra migration end-to-end
• Own PostgreSQL performance, replication, and zero-downtime schema changes
• Build Python-based automation to eliminate repetitive DB work
• Own CI/CD pipelines and Terraform-based infra provisioning
• Drive uptime, DR, monitoring, and incident response
• Own multi-tenant security (RLS, least-privilege access) and data governance

Experience: 4–9 years, data/database/platform engineering in demanding production environments.

Bonus: Kafka/Debezium (CDC), Redis, Flyway/Liquibase, GDPR/DPDP exposure.

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

Qualifications

● 3-8 years experience in Cloud Database Administration

● Proficient in PostgreSQL database management, including installation, configuration, and performance tuning.

● Experience with Amazon RDS or Cloud SQL and managing databases in cloud environments.

● Proficient in PostgreSQL/MySQL database management, including installation, configuration, and performance tuning.

● Proven experience as a Database Administrator with a focus on

PostgreSQL/MySQL.

● In-depth knowledge of database design, implementation, and management for both PostgreSQL/MySQL environments.

● Familiarity with database security, backup procedures, and performance tuning for both systems.

● Strong analytical and problem-solving skills.

● Excellent communication and collaboration abilities.

● Relevant certifications (e.g., PostgreSQL Certified Professional, MySQLDatabase Administrator) are a plus.

Skills:

● Expertise in PostgreSQL/MySQL database management systems.

● SQL programming and query optimization for both databases.

● Data modeling and database design for PostgreSQL/MySQL.

● Backup and recovery procedures for both environments.

● Performance tuning and optimization for PostgreSQL/MySQL.

● Security protocols and measures for PostgreSQL/MySQL.

● Capacity planning and scalability for both systems.

Data Architect – Databricks & AWS

• Strong experience in Data Architecture, Data Engineering, Databricks, Apache Spark/PySpark, Python, and Advanced SQL.
• Design and implement scalable ETL/ELT pipelines, data platforms, and Lakehouse architectures using Medallion Architecture.
• Experience with Databricks, Databricks Workflows, Unity Catalog OR Databricks Jobs
• Strong knowledge of Delta Lake, Databricks Workflows, Delta Live Tables (DLT), and dimensional data modeling.
• Hands-on experience with AWS services such as S3, Glue, IAM, Lambda, and CloudWatch.
• Experience with Apache Airflow, Data Warehouse concepts, Git/CI-CD, performance optimization, and data quality.
• Good to have exposure to Kafka/Structured Streaming, Unity Catalog, and modern data governance.

About the Organisation

DataFlow Group is a pioneering global provider of specialized Primary Source Verification (PSV) solutions, and background screening and immigration compliance services that assist public and private organizations in mitigating risks to make informed, cost-effective decisions regarding their Applicants and Registrants.

DataFlow with its best practices in this field such as a high level of data security, cutting-edge technology, rigorous processes, qualified research analysts, and a global network of over 100,000 issuing authorities, verifies professionals credentials from the primary issuer of the document - regardless of its nature.The company complements its advanced verification processes and long-standing industry expertise by adhering to the highest regulatory standards, including the Joint Commission International (JCI), International Organization for Standardization (ISO), and the European Union’s General Data Protection Regulation (GDPR).

About the Role:

We are looking for a Backend Architect / Lead who lives and breathes code. This isn't a role for someone who wants to delegate; it’s for a technical heavyweight who wants to own core product development, define backend architecture patterns, and build scalable, secure, and resilient systems from the ground up. You will join a fast-paced environment where we ship high-quality code under tight timelines. You’ll be expected to take full ownership of our server-side ecosystem, database design, and API layer, ensuring high availability, bulletproof operational excellence, and top-tier performance.

Duties and Responsibilities:

● Architect & Build: Design and implement complex, scalable microservices and monolithic architectures using Node.js, Express.js, and MongoDB (MERN backend stack).

● Heavyweight Coding: Spend the majority of your time writing high-quality, production-ready backend code. You should be comfortable solving complex systems problems using efficient Data Structures, Algorithms, and clean architecture principles.

● Performance & Data Engineering: Own database optimization, query performance, indexing strategies, caching layers (Redis), and system throughput to ensure low-latency API response times.

● Technical Leadership: Establish and enforce industry best practices for REST/GraphQL API design, security standards, code reviews, and automated CI/CD pipelines.

● End-to-End Ownership: Participate in the full SDLC—from initial ideation and system design to deployment, infrastructure setup, and production monitoring on AWS

Qualifications:

● The Deep Diver: You have spearheaded at least one large-scale, complex backend project or system redesign. You can explain every architectural decision, trade-off, database schema choice, and line of code in a deep-dive technical discussion.

● Experience: You have at least 8 years of professional software development experience, with a significant focus on high-traffic, distributed backend systems.

● Tech Stack Mastery: Expert-level proficiency in Node.js, Express.js, MongoDB (Mongoose/Aggregation framework), and TypeScript. Strong hands-on experience with AWS (EC2, S3, ECS/Lambda, CloudWatch) and containerization (Docker).

● Architectural Fluency: A solid understanding of modern backend patterns (Microservices, Event-Driven Architecture, Pub/Sub, Caching strategies, Message Queues like RabbitMQ/Kafka, State Management, and Authentication/Authorization protocols).

● Optimization Expert: Proven experience in tuning database performance, scaling server instances, managing connection pools, and debugging memory leaks or high CPU usage under heavy load.

● Grit & Speed: You thrive in high-pressure environments and enjoy the challenge of meeting tight deadlines without compromising on quality or system reliability.

Role Descriptions: Azure data engineer

SN Required Information Details

1 Role** Azure Cosmos DB Developer

2 Required Technical Skill Set** Primary - PySpark Azure Cosmos DB

Secondary -Python, Microsoft Fabric

3 No of Requirements** 4

4 Desired Experience Range** 8 to 12

5 Location of Requirement Pune

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

1. Deep hands-on experience with Python,Pyspark,Spark batch,notebook in Azure

2. Experience in Cosmos DB – including data modeling, indexing, partitioning, consistency levels, and performance tuning.

3. Strong understanding of Cosmos DB APIs (Core SQL API, MongoDB API, etc.) and integration patterns.

4. Proficiency in query optimization and troubleshooting Cosmos DB performance issues.

5. Experience in data processing using PySpark and Python.

6. Familiarity with Microsoft Fabric for data engineering and analytics workflows.

7. Proficient using source code management tools such as Git or GitHub

8. Experience with Test Driven Development and / or Behavior Driven Development.

Good-to-Have 1. Exposure to data governance tools like Azure Purview.

2. Familiar with various design patterns

3. Familiar with Azure: SQL Managed Instance, Cosmos DB, Storage Services, Azure Functions

4. Global project experience, and excellent communication skills, verbal and written, and soft skills in agile projects

SN Responsibility of / Expectations from the Role

1 Design and implement scalable and high-performance solutions using Azure Cosmos DB.

2 Develop data ingestion and transformation pipelines using PySpark and Azure Data Factory.

3 Optimize Cosmos DB performance through indexing, partitioning, and query tuning.

4 Collaborate with architects and data engineers to ensure best practices in data modeling and cloud architecture.

5 Implement and maintain CI/CD pipelines for automated deployments and testing.

6 Troubleshoot and resolve technical issues related to Cosmos DB and data pipelines.

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : Databricks~Digital : PySpark~Microsoft Fabric~MySQL

Experience Required: 8-10.

We are looking for a Database Engineer (PostgreSQL) with 1-5 years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

• Design, develop, and maintain PostgreSQL databases.
• Optimize SQL queries and improve database performance.
• Perform database design, indexing, and schema management.
• Execute data migration, backup, recovery, and disaster recovery activities.
• Monitor database health and troubleshoot performance issues.
• Collaborate with development teams to ensure scalable database solutions.

Requirements:

• 1-5 years of PostgreSQL database experience.
• Strong SQL and performance tuning skills.
• Knowledge of database backup, recovery, and migration processes.