Azure Data Architect Job at NTT DATA (Bangalore)

Azure Data Architect

We are offering an exciting opportunity for an Azure Data Architect within the O...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Comprehensive understanding of Azure products and Data platforms such as Databricks
Strong collaboration skills with Enterprise Architects, Cloud Engineering, Business Architects, and Product teams
Proficient in Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake
Experienced in scripting languages like Python, Bash, or Powershell
Knowledge of cloud security principles and best practices
Familiarity with Azure Resource Manager, Virtual Networks, Azure Blob Storage, Azure Automation, Azure Active Directory, and Azure Site Recovery

Job Responsibility

Collaborate with multiple teams to design and implement solutions
Ensure solutions are optimized for performance, cost, and compliance
Operate hands-on with Azure products and Data platforms
Develop and deploy Cloud Native Applications using Azure PaaS Capabilities
Manage cloud deployment, technical and security architecture, database architecture, virtualization, software design, networking, DevOps, and DevSecOps
Employ Azure data services
Utilize scripting languages to automate routine tasks
Implement IAM, Authentication and Authorization of applications
Utilize knowledge of cloud security principles and best practices
Handle Azure Resource Manager, Virtual Networks, Azure Blob Storage, Azure Automation, Azure Active Directory, and Azure Site Recovery

What we offer

Medical, vision, dental, life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Azure Data Architect

Location: 100% Remote; Years’ Experience: 10+ years Professional Experience; Edu...

Location

United States

Salary:

Not provided

Sparibis

Expiration Date

Until further notice

Requirements

10+ years of experience in data science, machine learning, and statistical modeling
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
Must be able to obtain and maintain a Secret security clearance
Expertise in statistical modeling, machine learning algorithms, and data mining techniques
Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry)
Proficiency in programming languages such as Python, R, SQL, PySpark
Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
Experience with data visualization tools (e.g., Power BI)
Strong experience with data extraction, cleaning, and transformation (ETL) processes
Experience in data governance, metadata management, and data cataloging

Job Responsibility

Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC’s strategic goals and objectives
Problem Identification: Work with USMC stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management
Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements
Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques
Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability
Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders
Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support
Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions
Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes
Compliance: Ensure that all data science activities comply with relevant USMC and DoD regulations and security policies

Data Engineer (Azure)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in Azure, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert
Hands-on experience with Azure services, especially those related to data engineering and analytics, such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, among others
Familiarity with Azure storage and compute services, including Azure Blob Storage, Azure SQL Data Warehouse, Azure HDInsight, and Azure Functions
Proficiency in programming languages such as Python, SQL, or C# for developing data pipelines, data processing, and automation
Knowledge of data manipulation and transformation techniques using tools like Azure Databricks or Apache Spark
Experience in data modeling, data cleansing, and data transformation for analytics and reporting purposes
Understanding of data architecture principles and best practices, including data lake architectures, data warehousing, and ETL/ELT processes
Knowledge of security and compliance features offered by Azure, including data encryption, role-based access control (RBAC), and Azure Security Center
Excellent communication skills, both verbal and written, to collaborate effectively with technical and non-technical teams

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Data Intelligence Data Architect

We are seeking a visionary Data Architect to lead the design, governance, and op...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

8+ years in data architecture, data engineering, or enterprise data management
Strong experience in data integration architecture across complex systems
Expertise in data modeling (conceptual, logical, physical) and database technologies
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools
Familiarity with data governance frameworks and regulatory compliance
Proficiency in SQL and Python for building data pipelines, performing data transformations, and implementing automation tasks

Job Responsibility

Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
Define enterprise-wide data models, taxonomies, and standards for consistent data usage
Collaborate with business stakeholders to identify data-driven revenue opportunities including APIs, data products, and new service offerings
Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications, platforms, and business units
Enable real-time and batch data flows to support operational and analytical systems
Ensure data accessibility across business units and external partners while adhering to data sovereignty and compliance laws
Implement data governance policies covering metadata management, data lineage, access control, and retention
Define data quality metrics and oversee data cleansing and validation initiatives
Define data stewardship roles and accountability structures
Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)

Fulltime

Data Architect

We’re looking for an innovative Data Architect to lead the creation and rollout ...

Location

United Kingdom , London

Salary:

Not provided

Transact

Expiration Date

Until further notice

Requirements

At least five years of relevant experience
Strong background in designing and implementing data lakes, data warehouses, and analytics solutions
Experience within the financial services sector is essential
Solid understanding of investment and financial products in the UK
Deep knowledge of data architecture and modelling including conceptual, logical, and physical data modelling
Expertise in data warehousing, data lake architecture, and Master Data Management (MDM)
Proficiency in data integration and ETL processes including design and orchestration of data pipelines and use of ETL/ELT tools
Experienced with a range of database technologies, particularly cloud-based storage, compute, and analytics services such as Azure, Fabric, and Power BI
Familiarity with Snowflake and relational databases like SQL Server and PostgreSQL
Professional certifications such as Microsoft Certified: Azure / Fabric Data Engineer Associate and SnowPro® Advanced: Architect are highly desirable

Job Responsibility

Design and implement a comprehensive data governance framework
Define and maintain data governance policies, standards, and procedures
Establish and lead a cross-functional Data Governance Council
Collaborate with data owners, stewards, and custodians across departments to ensure alignment and accountability
Develop and enforce data quality standards, metrics, and monitoring processes
Ensure compliance with data protection regulations such as GDPR, CCPA, and other relevant standards
Evaluate, select, and implement data governance tools (e.g. data catalogues, data quality tools)
Lead the deployment of modern data platform technologies including Data Warehouses, ETL services, and cloud-based solutions
Promote a data-driven culture through organization-wide training and awareness initiatives
Develop and deliver role-specific training for data owners, custodians, and other key stakeholders

What we offer

Competitive remuneration package
Company discretionary bonus
Excellent pension contributions
Attractive staff share scheme
BUPA health insurance
Buying and selling of annual leave
Sponsorship of relevant professional qualifications

Fulltime

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

Data Architect

We are seeking a highly skilled and experienced Data Architect to join our team....

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data-centric roles
Proven experience in a technical leadership position such as Solution Architect, Technical Lead, or Principal Engineer
Expert-level knowledge of Snowflake and Azure Data Factory (ADF)
Deep experience with SQL Server
Familiarity with Informatica and IBM DB2
Hands-on experience with Control-M
Experience with SAP Business Objects and Power BI
Expert-level SQL
Proficiency in Python
Experience with XML and JSON data formats

Job Responsibility

Design and document end-to-end solutions for new data integrations, major enhancements, and complex data products
Contribute to the technical roadmap for the Enterprise Data Warehouse (EDW)
Define and enforce data engineering and development standards across the program
Serve as the final technical approver for all significant code changes, pull requests, and architectural modifications
Act as the highest point of technical escalation for critical P1/P2 incidents and complex problems
Lead technical investigation during major outages
Drive technical resolution for systemic issues
Mentor Data Engineers and Data Visualization Engineers
Champion creation and maintenance of technical documentation
Work closely with client architects and source system owners

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Referral bonuses up to PLN6,000
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Azure Data Architect

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 26, 2026

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