IT Lead Technology Analyst - Data Migration Architect Job at Airbus (Bangalore)

Lead Data Architect Azure

As a Lead Data Architect at NTT DATA, you will manage key client relationships a...

Location

Italy , Bari; Bologna; Cosenza; Milano; Napoli; Roma; Salerno; Torino; Treviso; Pisa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience in the field of data analytics, preferably from Consulting companies
Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
Working experience in Azure cloud native environment
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Azure Load & Ingest services: Event Hub, Data Factory, Databricks
Azure main Storage services: Data Lake Gen1, Data Lake Gen 2, Delta Lake
Azure main Process & Serve services: Synapse, Databricks, Stream Analytics
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud environment

Job Responsibility

Manage Key Clients
Manage the relationships with Microsoft
Manage the Azure Center of Excellence
Lead Data & Analytics Azure projects
Support Recruitment
Support Value Proposition
Support Development of skills and capabilities
Design Data Platform using Azure DATA & AI services, such as Synapse, Data Factory, Data Lake Gen2, Stream Analytics, Purview, etc.
Design operations architecture and conduct performance engineering for large scale data lakes in production environment
Apply the Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF) to the solution design and implementation

Azure Data Architect

As an Azure Data Architect at NTT DATA, you will support customers in Big Data p...

Location

Italy , Roma; Milano; Torino; Bari; Cosenza; Bologna; Salerno; Treviso; Pisa; Napoli

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP/AWS/Azure), 5 years experience on Azure is preferred
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using Azure tools or open source ones (es: Grafana, Prometheus)
Proven experience in: Java, Scala, Python, and shell scripting
SQL language knowledge
Working experience with Agile Methodology and Kanban
Experience in leading medium teams

Job Responsibility

Supporting customers in Big Data projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives
Deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes in order to be consumed by analytics and machine learning models
Be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds

Principal Data Architect

We’re seeking a Principal Data Architect to lead strategic data modernization ad...

Location

United States; Canada

Salary:

170000.00 - 200000.00 USD / Year

Terazo

Expiration Date

Until further notice

Requirements

10+ years designing and delivering enterprise‑scale data solutions (with at least 5 years in cloud platforms such as Azure, Databricks, Snowflake, and/or AWS/GCP)
Proven experience working with Cloud Platforms and services
Proven experience migrating workloads to Cloud environments
Proven track record leading advisory and modernization programs end‑to‑end, from discovery through roadmap and into delivery oversight
Deep knowledge of enterprise data reference architecture, including Lakehouse/Medallion patterns, Mesh principles, CDC/streaming, and domain‑oriented data products
Expertise in data modeling (dimensional, 3NF, Data Vault), metadata/lineage, data quality, and observability
Hands-on governance with Unity Catalog (Databricks) and/or Microsoft Purview
pragmatic implementation of RBAC, lineage, and data masking
Strong grasp of governance (policy‑driven access, privacy/security, and regulatory expectations in banking such as GLBA, AML/KYC, BCBS 239), FinOps/cost management, and performance/scalability
Executive‑level communication and facilitation skills

Job Responsibility

Partner with Sales/Accounts to shape opportunities, conduct discovery, craft SOWs and proposals, build estimates/approaches, and present to executives
Lead executive advisory engagements that connect business value (growth, efficiency, risk) to a pragmatic data modernization strategy and investment plan
Define and validate target-state enterprise data architecture. Produce a phased, value‑anchored roadmap with clear outcomes, success metrics, and FinOps/budget guardrails. Build additional architecture artifacts to describe desired-state architecture
Design governance frameworks (policy-driven access, quality, lineage, metadata, ownership/stewardship, regulatory alignment) and connect them to measurable outcomes
Design reference architectures based on Cloud principles, such as the Well-Architected Framework
Own the reference architecture across Lakehouse, Warehouse, and Mesh patterns leveraging industry leading technologies
Define design patterns for ingestion, transformation, orchestration, and observability (monitoring, logging, alerting) that scale across domains
Mentor and coach architects, engineers, and analysts

What we offer

Pawreavement & Pawternity Leave: Two days off of work if you bring a new furry friend home, and two days off of work if you have to say goodbye to one
Unlimited PTO

ServiceNow Consultant Lead Product Analyst

Taking a role of ServiceNow Architect contributing towards Analysis, Design and ...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

8+ yrs of Experience with ServiceNow Products and worked on implementation, migration projects. Has 5+ yrs of experience working in HRSD and corresponding modules of ServiceNow. Extensive knowledge of lifecycle events and journeys. Integration experience of complex nature with both on-premises and cloud solutions using web services and web-based technologies for Enterprise grade solutions. Hand-on in ServiceNow scripting and guidelines and good grasp on ServiceNow Data model and Platform architecture. Experience with extending the ServiceNow schema to custom applications and working on ServiceNow platform capabilities and implementation of Scoped Application
Good communication skills and ability to interact with global stakeholders independently
ServiceNow – CTA
ServiceNow – CSA
ServiceNow – CIS – HRSD

Job Responsibility

Taking a role of ServiceNow Architect contributing towards Analysis, Design and Planning on the ServiceNow Development activities. Building Process, Solution Designs considering best practices involved for ServiceNow platform
Analyse and provide Implementation Plan along with effort estimation for technical solutions and work along with Sales/Pre-Sales team for scoping related to projects for all ServiceNow product suites
Participate in requirement gathering phase with clients and provide inputs to developers on the requirements
Lead and govern end-to-end ServiceNow implementations, migrations, and transformation projects
Build and provide Expert guidance for best development related to ServiceNow scripting and administration
Ability to design reusable frameworks for the ServiceNow Team
Build training and certification plan for the junior members and mentoring for the Developers and Administrators
Review solutions for Developers and guide for complex solutions keeping Security adherence intact for compliance needs of customers
Ensure visibility of all updates and changes related to ServiceNow Products are reviewed and shared amongst the ServiceNow Developer community
Participate in engagements with onshore, nearshore ServiceNow teams for improvement and planning for future

Databricks Expert - Data Engineer/Data Architect

As a Databricks Expert, you will support customers in Big Data projects, collabo...

Location

Italy , Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino, Treviso, Pisa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP/AWS/Azure)
5 years experience on Databricks is preferred
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using Azure tools or open source ones (es: Grafana, Prometheus)
Proven experience in: Java, Scala, Python, and shell scripting
SQL language knowledge
Experience in leading medium teams

Job Responsibility

Supporting customers in Big Data projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives
Deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes in order to be consumed by analytics and machine learning models
Be the bridge between Data Science and Data Engineering

Data Platform Engineering Lead

The Data Platform Engineering Lead will be responsible for overseeing the design...

Location

Portugal , Lisbon or Oporto

Salary:

Not provided

Randstad

Expiration Date

June 17, 2026

Requirements

Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field
7+ years of experience in data engineering or a similar role, with at least 3 years in a leadership position
Strong experience with Data Platform reference architectures (e.g. Lambda architecture, Data Mesh)
Deep knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Redshift, Snowflake)
Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred
Experience with migration from on-premise to cloud and vice versa
Good knowledge of relevant security frameworks & standards
Proficiency in programming languages such as Python, Java, or Scala
Strong understanding of database management systems (e.g., SQL, NoSQL, NewSQL). Experience with SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server)
Knowledge of data integration tools and frameworks (e.g., Apache Nifi, Talend, Informatica)

Job Responsibility

Lead and mentor a team of data architects and data engineers, fostering a collaborative and high-performance culture
Oversee the design, development and maintenance of scalable and robust data architectures and pipelines, ensuring efficient data processing, storage and retrieval, including data ingestion, storage, processing, management and analytics components
Develop and maintain the architecture of the data platform, ensuring it meets the needs of various business units and supports future growth
Define the technology stack and architecture standards for the data platform, ensuring alignment with industry best practices and emerging trends
Develop strategies for integrating diverse data sources, ensuring seamless data flow and high data quality
Design solutions that can scale with growing data volumes and ensure optimal performance across the data platform
Continuously monitor and optimize the performance of the data platform to handle large-scale data efficiently
Implement robust data security measures and ensure compliance with relevant regulations and industry standards
Work closely with data scientists, analysts, product managers and other stakeholders to understand data requirements and deliver effective solutions
Stay up-to-date with the latest advancements in data technologies and drive continuous innovation within the data platform

New

Business Intelligence Analyst

Business Intelligence Analyst Permanent Position! Job Summary: Tasks and Activi...

Location

United States , Farmington

Salary:

41.81 - 42.00 USD / Hour

SAR Tech

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, Information Technology, Business Analytics, Data Science, Engineering, Mathematics, Statistics, or a closely related field
Related experience in business intelligence, data analysis, reporting, dashboard development, and business data management
Strong experience working with SQL, data modeling, data warehousing concepts, and relational database management systems
Experience developing and maintaining dashboards, reports, and visualizations using business intelligence tools such as Power BI, Tableau, QlikView, or similar platforms
Strong knowledge of data analysis, data validation, data transformation, and data quality management techniques
Experience gathering business requirements, translating them into technical specifications, and delivering actionable insights to stakeholders
Knowledge of ETL processes, data integration, and data migration methodologies using tools such as SSIS, Informatica, Talend, or similar technologies is preferred
Experience working with large datasets and performing data extraction, cleansing, aggregation, and reporting activities
Understanding of data warehousing concepts, dimensional modeling, star schema, snowflake schema, and data governance principles
Experience with cloud-based analytics and reporting platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) is preferred

Job Responsibility

Responsible for initiating, planning, executing, and closing data engineering and business intelligence projects
Drive and ship all aspects of large, cross-functional data pipelines, analytics platforms, and dashboarding feature areas
Develop and execute data analytics plans, document requirements, define scope, risks, data governance deliverables, resource allocation, and timeline budgets
Plan, direct, and complete deep-dive analysis of data systems to support strategic business requirements and act as a crucial liaison between business stakeholders and IT/Data Engineering teams
Gather functional and technical data requirements for data warehouse enhancements, reporting tools, and new analytics projects
Drive metrics and KPI definitions sign-off and facilitate change orders for evolving data logic
Create 'as is' and 'to be' data models, architectural diagrams of data functionality, and reporting processes
Perform data gap analysis and create a structured roadmap to transition from the current siloed state to a mature, unified data ecosystem
Work closely with Solution Leads and Data Architects to turn raw business requirements into scalable analytics and reporting solutions
Collaborate with other regional analytics members on large, cross-functional, cross-regional data science and intelligence initiatives

Fulltime

Delivery manager

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

SQL proficiency — ability to read, review, and validate SQL queries, enabling effective collaboration with data engineering teams and QA of data deliverables
Azure Data Factory expertise — hands-on understanding of ADF pipeline architecture, triggers, linked services, and integration runtimes to govern data ingestion workstreams
Databricks knowledge — functional understanding of notebooks, clusters, Delta Lake, and Unity Catalog to oversee data transformation and analytics delivery
Microsoft Fabric experience — familiarity with Fabric workspaces, Lakehouses, Data Pipelines, and OneLake to lead platform modernisation programmes
Project management credentials — certified or experienced in Agile (Scrum/SAFe), PRINCE2, or PMP with a proven track record delivering complex data projects on time and budget
Insurance domain knowledge — understanding of insurance operations, products (P&C, Life, Re-insurance), and regulatory requirements (Solvency II, IFRS 17) as they relate to data
Stakeholder management — ability to communicate with C-suite sponsors, business owners, and technical teams, translating data concepts into business language
Risk and issue management — skilled at proactively identifying delivery risks, designing mitigation strategies, and escalating blockers to protect project timelines
Data governance awareness — working knowledge of data cataloguing, lineage, data quality frameworks, and tools such as Microsoft Purview
Tooling proficiency — experienced with Jira, Azure DevOps, Confluence, and MS Project for backlog management, sprint tracking, documentation, and programme reporting

Job Responsibility

Lead E2E data project delivery across the insurance data platform, managing full lifecycles from initiation and planning through execution, UAT, and go-live
Own project governance and reporting, maintaining project plans, risk registers, RAID logs, and status dashboards for senior stakeholders and business sponsors
Coordinate cross-functional teams including data engineers, architects, analysts, and business SMEs to ensure aligned delivery of pipelines and platform solutions
Manage ADF and Databricks workstreams, overseeing sprint planning, backlog refinement, and delivery milestones for data ingestion and transformation pipelines
Drive Microsoft Fabric adoption, coordinating migration strategies, capacity planning, and onboarding of engineering teams to the unified analytics stack
Manage vendor and third-party relationships, including contract oversight, SLA monitoring, and performance management for technology and consulting partners
Facilitate requirements gathering, translating complex insurance business needs into clear technical data project scopes and delivery roadmaps
Manage project budgets and resource plans, tracking costs against approved forecasts and proactively flagging variances to programme leadership
Ensure data quality and compliance standards are embedded in delivery, supporting GDPR, Solvency II, and internal data governance frameworks throughout execution
Conduct post-delivery reviews and retrospectives, capturing lessons learned and driving continuous improvement of delivery methodology across the platform

Fulltime

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IT Lead Technology Analyst - Data Migration Architect

Job Description

Job Responsibility

Requirements

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