Database Lead Architect Job at NTT DATA (Bihār)

Lead Cloud Database Architect

Next-Gen Database Modernization & Migration. Role Focus: A strategic leadership ...

Location

India , Gurgaon

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

AI-powered migration tools (schema conversion, code remediation, query optimization)
Intelligent workload analysis and migration planning
AI assistants and copilots for database optimization and troubleshooting
Build/integrate accelerators for effort optimization in migrations
Cloud-native tools: AWS DMS/SCT, Azure DMS, GCP Database Migration Service
Third-party solutions: Striim, Quest, Informatica, and similar platforms
Drive database migration sales calls and customer engagements
Accurate effort estimation to support presales team
Excellent presenter with ability to influence and convince stakeholders at all levels
Terraform, Ansible, CloudFormation, Azure DevOps, Python, Shell scripting

Job Responsibility

A strategic leadership role driving database modernization through AI-powered solutions, automation excellence, and accelerator-driven delivery
Build next-generation teams that deliver high-quality migration services across cloud platforms (AWS/Azure/GCP)
AI-Driven Migration - Leverage AI tools for schema conversion, code optimization, workload analysis, and intelligent automation
Accelerator Development- Build and integrate reusable frameworks, templates, and tools to standardize and fast-track migrations
Presales & Solutioning - Drive sales calls, estimate migration efforts, and present compelling solutions to prospects and executives
Automation Excellence - Automation-first mindset using IaC, CI/CD, and scripting to maximize team capacity and delivery quality
Quality Delivery - Deliver consistent, high-quality migrations with minimal downtime through proven methodologies

Fulltime

New

Cloud Database Architect

Lead large-scale Oracle & MS SQL Server to PostgreSQL migrations, including clou...

Location

India , Chennai

Salary:

Not provided

NewtGlobal

Expiration Date

Until further notice

Requirements

Strong hands-on experience in Anaplan model building (modules, lists, actions, UX dashboards)
Experience in Data Hub design and data integration
Good understanding of ALM (Dev/Test/Prod deployments)
Knowledge of PLANS & DISCO modeling best practices
End-End Migrations experience
12 to 15 Years experience

Job Responsibility

Lead large-scale Oracle & MS SQL Server to PostgreSQL migrations, including cloud modernization on AWS, Azure, or GCP, by defining optimal strategies (rehost, replatform, refactor)
Design secure, scalable database architectures ensuring high performance, data integrity, and minimal downtime during migrations
Perform query optimization, convert PL/SQL/T-SQL to PL/pgSQL, and implement performance tuning, indexing, and partitioning
Collaborate with cross-functional teams, manage HA/DR and backup strategies, and leverage migration tools (AWS DMS, Ora2Pg, Azure DMS) while mentoring teams and enforcing best practices
Handling US / Europe based customers
Creating POC / Project Estimations

Fulltime

Sap Basis Lead Architect

We are seeking a highly experienced and results-driven SAP professional to join ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

12+ years of overall SAP Basis experience, with at least 5+ years in an Architect or Lead role, including demonstrable Presales experience
Have worked in Tier-1 organization with at least 2 implementations and 3-4 Upgrade/migration experience
Deep hands-on expertise in SAP Bais, NetWeaver, S/4HANA and HANA ,Oracle, MSSQL and other database administration
Proven experience leading multiple full-cycle SAO OS/DB migrations including SAP S/4HANA Conversions/Migrations and major system upgrades
Strong working knowledge of running SAP on at least one major Hyperscaler (Azure, AWS, or GCP) or in a RISE with SAP context
Demonstrated experience leading large, distributed, and cross-functional technical teams (both project and support)
Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences and executive leadership

Job Responsibility

SAP Landscape Design
HANA Expertise
Technical Roadmap
Standardization & Governance
Migration & Upgrade Strategy
Cutover Management
Cross-Functional Coordination
Delivery Assurance
Solutioning
Proposal Development

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
Strong track record building distributed systems and integrating LLMs
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
RAG pipelines shipped to production
Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

Database Architect

– Participate actively in architecture design sessions alongside Solution Archit...

Location

Vietnam , Hà Nội

Salary:

Not provided

SmartOSC

Expiration Date

June 30, 2026

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field
7+ years of hands-on database architecture experience across production environments, with demonstrated experience engaging at solution / system design level
Strong proficiency in at least one RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) and familiarity with NoSQL solutions (MongoDB, Cassandra, DynamoDB, or equivalent)
Solid understanding of application architecture: how services communicate, how ORMs generate queries, how microservices interact with shared databases
Experience in cloud-native database management (AWS RDS/Aurora, or equivalent) and performance diagnostics (execution plans, query profiling, index tuning)
Experience with CI/CD pipelines and database migration tooling (Flyway, Liquibase, or similar)
ability to read and review application code (Python, Java, Node.js, or equivalent) to identify database anti-patterns
Professional working proficiency in English (both written and spoken)

Job Responsibility

Participate actively in architecture design sessions alongside Solution Architects and Engineering Leads
review application-level designs to identify upstream data risks early
Propose and evaluate database architecture patterns (e.g., CQRS, event sourcing, data mesh) and assess trade-offs between RDBMS, NoSQL, NewSQL, and time-series solutions
Design, implement, and optimize database schemas, stored procedures, indexing strategies, and access patterns
manage full database lifecycle (provisioning, patching, migration, decommissioning)
Analyze how application code interacts with the database layer
identify N+1 queries, ORM anti-patterns, and connection pool misconfigurations in collaboration with backend engineers
Design and maintain HA/DR strategies including replication topologies, failover automation, and RTO/RPO planning
lead incident response and root cause analysis for database-related issues
Implement and audit RBAC, data masking, encryption at rest and in transit

What we offer

Attractive salary package upto 3500 USD/ month
Salary review twice a year
Flexible working hour
Premium health care
Working in One of the largest digital transformation agencies – A professional English environment
Firm’s Certified Qualifications Sponsorship for career development
Annual company trip inside or outside Vietnam
Other fun activities: happy hour, quarterly team building, football club, yoga club, swimming club, charity activities, etc.
Free entertainment parties: Birthday party, Anniversary party, Sum-up Party, Year-End Party, etc.

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

SAP Basis Lead Architect

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

12+ years of overall SAP Basis experience, with at least 5+ years in an Architect or Lead role, including demonstrable Presales experience
Have worked in Tier-1 organization with at least 2 implementations and 3-4 Upgrade/migration experience
Deep hands-on expertise in SAP Basis, NetWeaver, S/4HANA and HANA, Oracle, MSSQL and other database administration
Proven experience leading multiple full-cycle OS/DB migrations including SAP S/4HANA Conversions/Migrations and major system upgrades
Strong working knowledge of running SAP on at least one major Hyperscaler (Azure, AWS, or GCP) or in a RISE with SAP context
Demonstrated experience leading large, distributed, and cross-functional technical teams (both project and support)
Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences and executive leadership

Job Responsibility

SAP Landscape Design: Design and architect complex, scalable, and resilient SAP landscapes (ECC, S/4HANA, BW/4HANA, SolMan, PO/PI, BTP) across on-premises, public, and private cloud environments (e.g., Azure, AWS, GCP, RISE with SAP)
HANA Expertise: Provide expert-level guidance on SAP HANA database administration, high-availability (HA), disaster recovery (DR), performance tuning, security, and data volume management
Technical Roadmap: Define the technical roadmap for customers' SAP systems, aligning with business objectives and SAP's Intelligent Enterprise strategy
Standardization & Governance: Establish and enforce technical standards, best practices, and governance policies for the SAP Basis domain
Migration & Upgrade Strategy: Lead the planning and execution of complex SAP projects, including S/4HANA System Conversions (Brownfield) and New Implementations (Greenfield), OS/DB Migrations (e.g., to HANA or Cloud), Major SAP Release Upgrades, EHP installations, and Support Pack/Stack application (using tools like SUM/DMO)
Cutover Management: Develop and lead detailed, near-zero downtime cutover strategies for go-lives
Cross-Functional Coordination: Serve as the technical lead, coordinating closely with Functional, Development (ABAP/Fiori), Infrastructure, and client teams
Delivery Assurance: Ensure project deliverables are met on time, within budget, and to the highest quality standards
Solutioning: Act as the primary technical subject matter expert (SME) during the presales phase, conceptualizing and designing competitive technical solutions (including AMS, Migration, Upgrade, and Cloud strategies)
Proposal Development: Contribute technical content to RFPs/RFIs, SOWs (Statements of Work), and proposals, ensuring technical accuracy and alignment with client requirements

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