cloud data architect

Codvo.ai

<div><div><div><div><b>Job Description: Snowflake Data Platform Lead</b></div><div></div><div><b><br>
Position Overview</b></div><div>
Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions, driving cloud-native data architecture initiatives and establishing scalable analytics capabilities.</div><div><b>
Key Responsibilities</b></div><div><b>
Platform Architecture &amp; Strategy:</b></div><ul><li>Design and implement enterprise-scale Snowflake data platform architectures</li><li>Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities</li><li>Define data governance, security, and access control frameworks</li><li>Lead platform assessments, optimization initiatives, and strategic planning</li></ul><div><b>
Technical Implementation:</b></div><ul><li>Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations</li><li>Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala</li><li>Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity</li><li>Establish monitoring, alerting, and cost management best practices</li></ul><div><b>
Integration &amp; Analytics:</b></div><ul><li>Design integrations with BI tools, data visualization platforms, and analytics applications</li><li>Enable advanced analytics and machine learning workflows using Snowpark ML</li><li>Implement real-time and batch data processing patterns</li><li>Lead data platform migrations and modernization projects</li></ul><div><b>
Required Qualifications</b></div><div><b>
Technical Expertise:</b></div><ul><li>7+ years enterprise data platform experience with focus on cloud-native architectures</li><li>4+ years hands-on Snowflake experience (development, administration, optimization)</li><li>Expert-level SQL and experience with Snowpark (Python/Scala)</li><li>Strong understanding of cloud data architecture, security, and governance</li><li>Experience with data integration tools and modern data stack components</li></ul><div><b>
Platform Experience:</b></div><ul><li>Multi-source data integration including databases, APIs, files, and streaming data</li><li>Performance optimization, cost management, and warehouse scaling strategies</li><li>Data governance, compliance, and security framework implementation</li><li>Enterprise-scale data migration and platform consolidation projects</li></ul><div><b>
Leadership &amp; Communication:</b></div><ul><li>Proven track record leading technical teams and complex data initiatives</li><li>Experience with stakeholder management and cross-functional collaboration</li><li>Strong analytical and problem-solving capabilities</li><li>Documentation and knowledge transfer expertise</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer)</li><li>Multi-cloud platform experience (AWS, Azure, GCP)</li><li>dbt (data build tool) and modern data transformation frameworks</li><li>Machine learning and MLOps experience in cloud environments</li><li>Industry-specific data platform experience and domain expertise</li></ul><p></p><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p></div></div></div><p></p>

Snowflake Data Platform Lead(India)

TechBiz Global GmbH

<div><p>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
</p><p><b>Data Architect</b> to join one of our <b>clients</b>' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.</p><p><b>
Role Summary:</b></p><p>
The Data Architect will design and govern the complete data ecosystem for the ValueX platform &mdash; including data ingestion, processing, modeling, storage, orchestration, and governance.
</p><p>They will define the <b>data architecture blueprint</b> supporting the system&rsquo;s core modules.</p><p><b>
1. Customer Segmentation
</b></p><p><b>2. Business Decisioning &amp; Offer Assignment Engine
</b></p><p><b>3. Real-Time Offer Orchestration Module (ROOM)
</b></p><p><b>4. ML/AI Model Management &amp; Simulation Engine</b>
</p><p>The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning &mdash; with a focus on performance, cost optimization, and maintainability.</p><p></p><p><b>
Key Responsibilities:
</b></p><p><b>Data Architecture &amp; Design</b></p><ul><li><p>
Define the end-to-end data architecture across batch, streaming, and real-time layers.</p></li><li><p>
Design Customer 360 and Offer 360 data models, including feature store and historical layers.
</p></li><li><p>Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration.
</p></li><li><p>Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations.
</p></li><li><p>Set up data versioning and lineage frameworks to track data provenance</p></li></ul><p></p><p><b>
Data Ingestion &amp; Integration</b></p><ul><li><p>
Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs.
</p></li><li><p>Define patterns for real-time event ingestion (recharge, offer purchase, balance check).
</p></li><li><p>Standardize data access through APIs or data products for downstream modules.
</p></li><li><p>Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io, KNIME).</p></li></ul><p></p><p><b>
Data Management &amp; Governance</b>
</p><ul><li><p>Define and enforce data quality, lineage, catalog, and access policies.
</p></li><li><p>Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen).
</p></li><li><p>Set up data validation and DQ frameworks (Great Expectations, Deequ).
</p></li><li><p>Govern data partitioning, schema evolution, retention, and archiving strategies.
</p></li><li><p>Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies).</p></li></ul><p></p><p><b>
Scalability, Cost &amp; Performance</b>
</p><ul><li><p>Design for high performance and cost-efficient scalability (25M 50M 75M customers).
</p></li><li><p>Optimize compute/storage balance across environments (Dev, UAT, Prod).
</p></li><li><p>Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction).
</p></li><li><p>Monitor and manage query performance, cluster sizing, and job orchestration costs.</p></li></ul><p></p><p><b>
Collaboration &amp; Governance</b>
</p><ul><li><p>Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment.
</p></li><li><p>Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry).
</p></li><li><p>Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx).
</p></li><li><p>Provide best practices and design patterns for model deployment, retraining, and data lifecycle management.</p></li></ul><ul><li><p>
10+ years in Data Architecture and Data Platform Design</p></li><li><p>
Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management.</p></li><li><p>
ETL/ELT &amp; Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory.</p></li><li><p>
Streaming &amp; Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink</p></li><li><p>
Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store</p></li><li><p>
Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow)</p></li><li><p>
Storage &amp; Compute-Delta Lake, Parquet, Iceberg, Snowflake</p></li><li><p>
Data Quality &amp; Governance-Great Expectations, Deequ, DataHub, Collibra</p></li><li><p>
Programming &amp; Scripting-Python, SQL, PySpark, YAML</p></li><li><p>
API &amp; Integration Design-REST, GraphQL, Kafka Connect, JSON schema</p></li><li><p>
Security &amp; Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance
</p></li></ul><p></p><p><b>Preferred (Nice-to-Have)</b></p><ul><li><p>
Telecom industry experience (recharge, balance, offer, churn, usage data).
</p></li><li><p>Experience integrating with Adobe Experience Platform (AEP) or Pricefx.
</p></li><li><p>Knowledge of DecisionRules.io, KNIME, or n8n for workflow orchestration.
</p></li><li><p>Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker).
</p></li><li><p>Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation.
</p></li><p></p><li><p><b>Educational Background Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related fields.
</b></p></li><li><p><b>Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.</b></p></li></ul></div>

Data Architect – Dynamic Pricing & Decision Intelligence Platform

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Microsoft Azure Data Services<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in ensuring that the data architecture is robust, scalable, and efficient, contributing to the success of the application and the organization as a whole. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with industry trends and best practices. - Collaborate with cross-functional teams to ensure data architecture meets business needs. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Good To Have Skills: Experience with data modeling and database design. - Strong understanding of data integration techniques and ETL processes. - Familiarity with cloud computing concepts and services. - Experience in performance tuning and optimization of data systems. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Azure Data Services. - This position is based at our Bengaluru office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Architect

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
You will be working as an Associate Data Architect within the domain, designing and delivering big data pipelines for structured and unstructured data that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services &amp; DevOps. You will be working with Architects from other specialties such as Cloud engineering, Software engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.<br>
Role &amp; Responsibilities:<br>
Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Google Cloud.<br>
Design and build a cloud migration strategy for cloud and on-premise applications.<br>
Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale.<br>
Build tools to ingest and jobs to process several terabytes or petabytes per day.<br>
Design and develop next-gen storage and compute solutions for several large customers.<br>
Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers.<br>
Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters.<br>
Better understanding of Data modeling and governance</div><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Associate Tech Architect - Data Engineer

Confiz

<div><p>We are looking for an experienced <b>Data Architect</b> with 7+ years of progressive experience in data engineering, architecture design, and technical leadership. You will lead the architectural strategy and execution for our real-time and batch data platforms, ensuring scalability, reliability, and performance across a modern cloud-native ecosystem. This role is suited for a visionary technologist who can drive enterprise-grade solutions, establish best practices, and mentor high-performing engineering teams.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Design and implement scalable, secure, and efficient data architectures for integrated systems.</li>
<li>Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.</li>
<li>Develop data flow frameworks to ensure seamless integration between applications, databases, and cloud platforms.</li>
<li>Define and enforce data architecture standards, best practices, and governance policies.</li>
<li>Manage data import processes from various source systems/API and oversee data export to other systems/API, ensuring accuracy and reliability.</li>
<li>Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.</li>
<li>Optimize data storage, retrieval, and processing to enhance performance and reliability.</li>
<li>Ensure data security, compliance, and integrity across all systems.</li>
<li>Conduct code reviews, provide feedback, and ensure best practices are followed.</li>
<li>Identify and resolve data-related issues, bottlenecks, and inefficiencies.</li>
<li>Stay updated with emerging technologies and industry best practices in data architecture and engineering.</li>
<li>Completed documentation of Data Architecture structure.</li>
</ul>
<p><b>Qualifications:</b></p>
<ul><li>Bachelors or equivalent Degree in Computer Science, Information Technology or related field.</li>
<li>8+ years of professional, hands-on experience building complex solution that collect, process, store and analyze large volumes of business-critical data &bull; 3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks</li>
<li>3+ years of experience developing both multidimensional and tabular models with large and complex datasets;</li>
<li>1+ years working in an Architect role including: designing, modeling and building complex data solutions</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Must have good knowledge of Data Governance Practices and Data Quality Tools</li>
<li>Must have good knowledge of data security and privacy measures</li>
<li>Experience in managing teams, being a technical coach</li>
<li>Experience driving knowledge transfer and/or training programs</li>
<li>Experience with agile delivery methodologies, proof of concepts and prototyping</li>
<li>Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps</li>
<li>Demonstrated strategic thinking through a proven ability to research client inquiries and emerging issues related to regulations, industry practice and new application technologies</li>
<li>Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows</li>
<li>Ability to facilitate design discussions and communicate architectural decisions</li>
<li>Experience in Microsoft Fabric and Purview is an additional advantage</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Microsoft Azure Data Services<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in ensuring that the data architecture is robust, scalable, and efficient, contributing to the success of the application and the organization as a whole. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Develop and maintain documentation related to data architecture and design. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Strong understanding of data modeling techniques and best practices. - Experience with data integration tools and ETL processes. - Familiarity with cloud-based data storage solutions and architectures. - Ability to design and implement data governance frameworks. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Data Services. - This position is based at our Chennai office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Atos

<div></div><div><div><div><h3 class="jobSectionHeader"><b>Job Applicant Privacy Notice</b></h3>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>DWP Data Architect
</b></h1></div></div></div></div><div><div><div><div>Publication Date: Oct 29, 2025
</div></div></div></div><div><div><div><div>Ref. No: 538842
</div></div></div></div><div><div><div><div>Location:
Bangalore, IN
</div></div></div></div><div></div><div><div><div><div><p><b>About Atos Group</b></p><br>
<p></p>
<p>
Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. &euro; 10 billion, operating in 67 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.</p><br>
<p></p>
<p>
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.</p><div><b>
Position Overview:</b><br>
We are seeking a skilled and experienced DWP Data Architect to join our R&amp;D team. The successful candidate will be responsible for designing and developing the DWP Data Platform, which will serve as a centralized repository for data generated by DWP services. This platform will facilitate cross-service data sharing and will be instrumental in enabling AI and analytics functionalities across all Digital Workplace services.</div><br>
<div></div>
<div><b>
Key Responsibilities:</b></div>
<ul>
<li><b>Architecture Design:</b> Create a robust data architecture that meets the scalability, security, and performance requirements of the DWP Data Platform.</li>
<li><b>Data Management:</b> Design data models and data flows to effectively store and process structured, semi-structured, and unstructured data.</li>
<li><b>Technology Implementation:</b> Utilize Azure technologies to develop and implement the DWP Data Platform, ensuring adherence to best practices in data design.</li>
<li><b>Cross-Functional Collaboration:</b> Work closely with product managers, data engineers, and other stakeholders to understand data needs and ensure that the platform supports all DWP services effectively.</li>
<li><b>Leadership:</b> Lead the development team in implementing the data architecture, providing guidance on data design principles and practices.</li>
<li><b>Analytics Enablement:</b> Collaborate with data scientists and analysts to support the integration of AI and analytics capabilities into the DWP services.</li>
<li><b>Documentation:</b> Create and maintain comprehensive documentation of data architecture, data models, and design decisions to ensure clarity and alignment across teams.</li></ul><br>
<div></div>
<div><b>
Qualifications:</b></div>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field. A Master&rsquo;s degree is a plus.</li>
<li>Proven experience as a Data Architect or similar role, preferably in a large-scale data environment.</li>
<li>Strong knowledge of data architecture, data modeling, and data governance principles.</li>
<li>Experience with Azure cloud services and technologies (e.g., Azure Data Lake, Azure SQL Database, Azure Synapse Analytics).</li>
<li>Familiarity with data processing frameworks and tools for structured, semi-structured, and unstructured data.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.</li>
<li>Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li></ul><br>
<p></p>
<p><b>
Let&rsquo;s grow together.</b></p></div></div></div></div></div><p></p>

DWP Data Architect

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