data analytics architect

Oracle

<div><p><b>Core Competencies &amp; Skills
</b></p><ul><li>Storytelling: Excellent communication and executive engagement skills; ability to simplify data lakehouse and AI concepts for CxOs.
</li><li>Technology Breadth: Strong background in database, integrations, and analytics (Oracle Database and Data Integration platforms, Oracle Analytics Cloud)
</li><li>AI Enablement: Familiarity with GenAI, LLMs, Machine Learning, Python
</li><li>Demo Innovation: Hands-on capability with Oracle Data Integrator, Python, Oracle Analytics/ Fusion Data Intelligence for creating impactful demos.
</li><li>Enterprise Architecture: Ability to design hybrid/multi-cloud architectures with scalability, security, and compliance in mind.
</li><li>Collaboration: Proven ability to work across sales, consulting, and product engineering teams in highly distributed environments.
</li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.<br>
<li>
</li></ul><div></div><p><b>Qualifications &amp; Experience
</b></p><ul><li>8+ years of IT/solution architecture experience with at least 4 years in Data integration, warehousing and analytics.
</li><li>3&ndash;5 years of solutioning exposure, with practical experience in demos, POCs, or customer workshops.
</li><li>Familiarity with Oracle Cloud Infrastructure (OCI), Oracle Data Integration, Oracle Analytics/Fusion Data Intelligence, and multi-cloud ecosystems.
</li><li>Familiarity or experience with products like Databricks, Microsoft Fabric
</li><li>Excellent written and verbal communication skills, with experience influencing both technical and business leaders.</li></ul></div>
<br><div><p><b>Customer Engagement &amp; Delivery
</b></p><ul><li>Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
</li><li>Articulate Oracle&rsquo;s AI Data Platform, Analytics and AI solutions to business and IT stakeholders.
</li><li>Lead solutioning to deliver compelling demo assets.
</li></ul><p><b>Solution Architecture &amp; Design
</b></p><ul><li>Design and propose modern data and analytics architectures&mdash;spanning data lakes, lakehouses, and enterprise applications&mdash;integrating Oracle SaaS, on-prem, and third-party systems using contemporary integration patterns, while incorporating selective AI capabilities such as vector search, RAG, and intelligent automation where they add business value.
</li><li>Provide design decisions, estimates, and staffing/schedule inputs for customer pursuits.
</li></ul><p><b>Technical Thought Leadership
</b></p><ul><li>Contribute to best practices through blogs, whitepapers, and reusable Delivery assets.
</li><li>Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
</li><li>Mentor junior solution engineers in Delivery methodologies and demo storytelling.</li></ul></div>

Data and Analytics Architect

<div><p><b>Core Competencies &amp; Skills
</b></p><ul><li>Storytelling: Excellent communication and executive engagement skills; ability to simplify data lakehouse and AI concepts for CxOs.
</li><li>Technology Breadth: Strong background in database, integrations, and analytics (Oracle Database and Data Integration platforms, Oracle Analytics Cloud)
</li><li>AI Enablement: Familiarity with GenAI, LLMs, Machine Learning, Python
</li><li>Demo Innovation: Hands-on capability with Oracle Data Integrator, Python, Oracle Analytics/ Fusion Data Intelligence for creating impactful demos.
</li><li>Enterprise Architecture: Ability to design hybrid/multi-cloud architectures with scalability, security, and compliance in mind.
</li><li>Collaboration: Proven ability to work across sales, consulting, and product engineering teams in highly distributed environments.
</li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.<br>
<li>
</li></ul><div></div><p><b>Qualifications &amp; Experience
</b></p><ul><li>8&amp;#43; years of IT/solution architecture experience with at least 4 years in Data integration, warehousing and analytics.
</li><li>3&ndash;5 years of solutioning exposure, with practical experience in demos, POCs, or customer workshops.
</li><li>Familiarity with Oracle Cloud Infrastructure (OCI), Oracle Data Integration, Oracle Analytics/Fusion Data Intelligence, and multi-cloud ecosystems.
</li><li>Familiarity or experience with products like Databricks, Microsoft Fabric
</li><li>Excellent written and verbal communication skills, with experience influencing both technical and business leaders.</li></ul></div>
<br><div><p><b>Customer Engagement &amp; Delivery
</b></p><ul><li>Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
</li><li>Articulate Oracle&rsquo;s AI Data Platform, Analytics and AI solutions to business and IT stakeholders.
</li><li>Lead solutioning to deliver compelling demo assets.
</li></ul><p><b>Solution Architecture &amp; Design
</b></p><ul><li>Design and propose modern data and analytics architectures&mdash;spanning data lakes, lakehouses, and enterprise applications&mdash;integrating Oracle SaaS, on-prem, and third-party systems using contemporary integration patterns, while incorporating selective AI capabilities such as vector search, RAG, and intelligent automation where they add business value.
</li><li>Provide design decisions, estimates, and staffing/schedule inputs for customer pursuits.
</li></ul><p><b>Technical Thought Leadership
</b></p><ul><li>Contribute to best practices through blogs, whitepapers, and reusable Delivery assets.
</li><li>Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
</li><li>Mentor junior solution engineers in Delivery methodologies and demo storytelling.</li></ul></div>

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: DATA AND ANALYTICS ARCHITECT L1
</div></div></div></div><div><div><div><div>City: Bengaluru
</div></div></div></div><div><div><div><div>State/Province: Karnataka
</div></div></div></div><div><div><div><div>Posting Start Date: 2/23/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals
</b></p><p>a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation
</p><p>b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy
</p><p>c. Create data strategy and road maps for the Reference Data Architecture as required by the clients
</p><p>d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request
</p><p>e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise
</p><p>f. Develop, communicate, support and monitor compliance with Data Modelling standards
</p><p>g. Oversee and monitor all frameworks to manage data across organization
</p><p>h. Provide insights for database storage and platform for ease of use and least manual work
</p><p>i. Collaborate with vendors to ensure integrity, objectives and system configuration
</p><p>j. Collaborate with functional &amp; technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization
</p><p>k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage
</p><p>l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes
</p><p>m. Knowledge of all the Data service provider platforms and ensure end to end view.
</p><p>n. Oversight all the data standards/ reference/ papers for proper governance
</p><p>o. Promote, guard and guide the organization towards common semantics and the proper use of metadata
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p>p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control
</p><p>q. Provide solution of RFP&Atilde;&cent;&Acirc;&Acirc;s received from clients and ensure overall implementation assurance
</p><p>i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives
</p><p>ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data
</p><p>iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology
</p><p>iv. Define and understand current issues and problems and identify improvements
</p><p>v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout
</p><p>vi. Understand the root cause problem in integrating business and product units
</p><p>vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view
</p><p>viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements
</p><p>ix. Tracks industry and application trends and relates these to planning current and future IT needs
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>2. Building enterprise technology environment for data architecture management
</b></p><p>a. Develop, maintain and implement standard patterns for data layers, data stores, data hub &amp; lake and data management processes
</p><p>b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness
</p><p>c. Collect all the structural and non-structural data from different places integrate all the data in one database form
</p><p>d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports
</p><p>e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices
</p><p>f. Implement the best security practices across all the data bases based on the accessibility and technology
</p><p>g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG)
</p><p>h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks
</b></p><p>a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor
</p><p>b. Define database physical structure, functional capabilities, security, back-up and recovery specifications
</p><p>c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results
</p><p>d. Monitor system capabilities and performance by performing tests and configurations
</p><p>e. Integrate new solutions and troubleshoot previously occurred errors
</p><p>f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards
</p><p>g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects
</p><p>h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams
</p><p>i. Recommend tools for reuse, automation for improved productivity and reduced cycle times
</p><p>j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods.
</p><p>k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams
</p><p>l. Ensures architecture principles and standards are consistently applied to all the projects
</p><p>m. Ensure optimal Client Engagement
</p><p>i. Support pre-sales team while presenting the entire solution design and its principles to the client
</p><p>ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met
</p><p>iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor
</p></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Looker .<br>
<p></p>Experience: 8-10 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

DATA AND ANALYTICS ARCHITECT L1

atmaal

<div>
 <p>
  <strong>
   Data Architect ;
  </strong>
 </p>
 <p>
  The Data Architect is responsible for designing and implementing scalable, efficient, and secure data architecture that supports the data management and analytics needs of the Enterprise Data Platform. This role focuses on building a robust foundation for data storage, integration, and processing, ensuring seamless integration of data from various sources while optimizing performance, security, and cost.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, implement, and manage scalable and efficient data architecture for the Enterprise Data Platform on Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), or other cloud environments as required.
  </li>
  <li>
   Architect and implement data models and storage solutions, including data lakes, data warehouses, and analytics layers, optimized for performance, scalability, and cost efficiency.
  </li>
  <li>
   Collaborate with data engineers, data scientists, and technical teams to support advanced analytics, machine learning, and AI use cases.
  </li>
  <li>
   Define and enforce data governance practices, ensuring data security, privacy, and compliance with applicable standards and regulations.
  </li>
  <li>
   Design and implement ETL/ELT processes to efficiently ingest, cleanse, and transform data from multiple sources into a data Lake architecture.
  </li>
  <li>
   Develop and maintain a comprehensive data architecture strategy, focusing on continuous improvement and optimization of data pipelines and platforms.
  </li>
  <li>
   Provide guidance and mentorship to junior data engineers, and collaborate with business and technical stakeholders to capture and translate data requirements.
  </li>
  <li>
   Stay up to date with emerging trends and technologies in cloud and data architecture, ensuring adoption of best practices and innovation.
  </li>
  <li>
   Monitor data platform performance, troubleshoot issues, and continuously optimize solutions for reliability, efficiency, and scalability.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Expertise Required:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong experience in Data Architecture across large-scale enterprise environments.
  </li>
  <li>
   Proven experience in Solution Architecture (SA), with the ability to design end-to-end data solutions aligned with business and technical requirements.
  </li>
  <li>
   Solid exposure to Enterprise Architecture (EA), ensuring alignment with target-state architecture, enterprise standards, and technology roadmaps.
  </li>
  <li>
   Hands-on experience with Google Cloud Platform (GCP) and/or Oracle Cloud Infrastructure (OCI).
  </li>
  <li>
   Experience with data integration and orchestration tools such as Informatica.
  </li>
  <li>
   Strong knowledge of BigQuery, Google Cloud Storage, and GCP Native Services.
  </li>
  <li>
   Experience with API management and integration platforms such as Apigee.
  </li>
  <li>
   Strong understanding of event-driven and streaming architectures using Pub/Sub and Kafka.
  </li>
  <li>
   Knowledge of data governance, data quality, metadata management, and master data concepts.
  </li>
  <li>
   Experience in designing secure data platforms with a strong focus on performance, scalability, and cost optimization.
  </li>
  <li>
   Familiarity with local regulations and compliance requirements (e.g., data residency, privacy, and regulatory controls applicable in Saudi Arabia such as NDMO, PDPL, and related frameworks).
  </li>
  <li>
   Ability to work across multiple teams and initiatives, balancing tactical delivery with strategic architectural alignment.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Architect

Relevantz Technology Services

<div></div><div><div><div><div><div><p><b>Job Title: </b><b>Data Architect</b></p>
<p><b>Location: Chennai</b></p>
<p><b>Experience: 13+ Years</b></p>
<p><b>Position Type: Fulltime</b></p>
<p><b>Skillsets Required: Data Architecture, AWS/GCP/Azure, Data Lake, ETL, SQL, Snowflake.</b></p>
<p>Roles Responsibilities:</p>
<p><b>Job Summary:</b></p>
<p>We are seeking an experienced <b>Data Architect</b> to design, develop, and optimize our enterprise data architecture. This role involves creating robust data models, ensuring data integrity and security, and enabling efficient data storage and retrieval to support business intelligence and analytics initiatives.</p>
<p>Key Responsibilities</p>
<p><b>Design and Develop Data Architecture:</b></p>
<ul>
<li>Create conceptual, logical, and physical data models.</li></ul><br>
<ul>
<li>Define database structures and data flow diagrams.</li>
</ul>
<p><b>Data Management &amp; Governance:</b></p>
<ul>
<li>Establish data standards, policies, and procedures.</li></ul><br>
<ul>
<li>Ensure compliance with data security and privacy regulations.</li>
</ul>
<p><b>Collaboration:</b></p>
<ul>
<li>Work closely with IT, data engineers, and business stakeholders to align data solutions with organizational goals.</li></ul><br>
<ul>
<li>Support data scientists and analysts with reliable data systems.</li>
</ul>
<p><b>Optimization &amp; Maintenance:</b></p>
<ul>
<li>Audit and troubleshoot existing data systems for performance improvements.</li></ul><br>
<ul>
<li>Implement backup and recovery strategies.</li>
</ul>
<p><b>Technology Evaluation:</b></p>
<ul>
<li>Research emerging data technologies and recommend adoption where appropriate.</li>
</ul>
<p>Required Skills &amp; Qualifications</p>
<ul>
<li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Systems, or related field.</li></ul><br>
<ul>
<li>Proven experience in <b>data modelling</b>, <b>database design</b>, and <b>data warehousing</b>.</li></ul><br>
<ul>
<li>Strong knowledge of <b>SQL</b>, <b>ETL processes</b>, and <b>cloud platforms</b> (AWS, Azure, GCP).</li></ul><br>
<ul>
<li>Familiarity with <b>Big Data technologies</b> (Hadoop, Spark) and <b>data governance frameworks</b>.</li></ul><br>
<ul>
<li>Excellent problem-solving and communication skills.</li>
</ul>
<p>Preferred Skills</p>
<ul>
<li>Experience with <b>data visualization tools</b> (Tableau, Power BI).</li></ul><br>
<ul>
<li>Knowledge of <b>NoSQL databases</b> and <b>data lake architecture</b>.</li></ul><br>
<ul>
<li>Programming skills in <b>Python</b>, <b>Java</b>, or similar languages.</li></ul></div></div></div></div></div><div></div>

COZMALABS

<p>We are looking for a highly experienced <b>Senior Data Architect</b> to design, implement, and govern enterprise data solutions that enable business insights and drive strategic decision-making. The ideal candidate will have a proven track record of delivering scalable, high-performance data architectures, integrating multiple systems, and ensuring data quality, governance, and alignment with overall enterprise strategy.</p><p>Key Responsibilities</p><ul><li>Design and implement <b>enterprise data architectures</b> across ERP, CRM, and BI platforms</li><li>Lead database and data modeling efforts for <b>SQL (Oracle, PL/SQL) and NoSQL systems</b></li><li>Develop and govern <b>ETL pipelines, data integration, and transformation workflows</b></li><li>Define and implement <b>Master Data Management (MDM) strategies</b> and ensure data quality, consistency, and governance</li><li>Optimize queries, performance, and scalability for large datasets</li><li>Collaborate with business and technical stakeholders to align data architecture with enterprise strategy</li><li>Support dashboards, reporting, and analytics using BI tools (Power BI, Tableau, or equivalent)</li></ul><p>Requirements</p><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li><b>15+ years</b> of experience in data architecture or enterprise data management</li><li>Expertise in <b>SQL/NoSQL databases, PL/SQL, and complex query optimization</b></li><li>Experience with <b>ERP, CRM, and BI tools</b></li><li>Strong background in <b>ETL, data warehousing, and MDM strategy</b></li><li>Knowledge of cloud data platforms (AWS, Azure, Oracle Cloud)</li><li>Excellent analytical, communication, and stakeholder management skills</li></ul><p>Preferred</p><ul><li>Data architecture or cloud certifications (TOGAF, CDMP, or equivalent)</li><li>Experience in large-scale enterprise or regulated environments</li><li><b>Arabic language skills desirable but not mandatory</b></li></ul><p>Job Type: Full-time</p>

NTT DATA

<p><b>Req ID:</b> 358507
<br>
<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
<br>
We are currently seeking a Data Architect - RPO to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).<br>
<br>
Designs and builds relational database models and defines data requirements to meet the business needs. Develops strategies for data acquisitions, archive recovery, and implementation of databases. Foster value creation from the use of the internal organization's data assets, as well as from the external data ecosystem. Source the value through envisioning data-enabled strategies as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy. ESSENTIAL FUNCTIONS:? Creates design principles and prepares technical and infrastructure architecture deliverables that meet business requirements and customer needs. ? Participates in product design recommendations that span the entire infrastructure framework. ? Develops logical and physical database models. Writes scripts and commands for data manipulation.? Plans and conducts database unit and systems tests; monitors results and takes corrective actions. Monitors and resolves database performance, capacity, data integrity, and replication issues. ? Serve as a central point of access to data across the organization? Drives prioritization of data requests, considering organizational goals and strategic plan ? Assists with evaluation, participation in, and management of comparative databases to reduce duplication and ensure maximum return on investment? Responsible for data governance, ensuring accuracy, integrity, and consistency of data definitions across the organization when possible? Sustains knowledge of current trends as it relates to data analytics? Supports the gathering and interpretation of data; draws conclusions and formulates recommendations to assist in quality, safety and strategic initiatives? Recognizes the strengths and weaknesses of various data sources; works with stakeholders to recommend utilization of specific data sources to most effectively capture desired information ? Communicate the benefits of the enterprise data architecture to various stakeholders in order to focus on meeting business and IT needs while assisting developers in the use of architecture? Builds technical relationships with business, operations, and technical teams and leads design efforts that provides innovative solutions and complex architectures<br>
<br>
<b>About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.<br>
<br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.<br>
<br>
<b>NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. </b><b>This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</b></p>

Data Architect - RPO

Search 10000+ Data analytics architect jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 data analytics architect jobs Near Me

Data and Analytics Architect

Data and Analytics Architect

DATA AND ANALYTICS ARCHITECT L1

Data Architect

Data Architect

Data Architect

Data Architect - RPO