data modeling architect

Source-Right

<div>
 <strong>
  Position: Architect &ndash; Data Modelling (CT1014FI RM 3627)
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  Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
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  Hybrid work mode in all the locations. It&rsquo;s based on the policy in that location (Could be 2 days WFO, 3 days WFH and vice versa)
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  What your typical day would look like?
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 As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modelling Architect as demanded by each project to define, design, and deliver actionable insights.
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  Job Description
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   Engage the clients &amp; understand the business requirements to translate those into data models.
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   Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.
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   Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.
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   Use the Data Modelling tool to create appropriate data models
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   Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
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   Gather and publish Data Dictionaries.
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   Ideate, design, and guide the teams in building automations and accelerators
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   Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.
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   Contribute to building data warehouse &amp; data marts (on Cloud) while performing data profiling and quality analysis.
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   Use version control to maintain versions of data models.
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   Collaborate with Data Engineers to design and develop data extraction and integration code modules.
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   Partner with the data engineers &amp; testing practitioners to strategize ingestion logic, consumption patterns &amp; testing.
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   Ideate to design &amp; develop the next-gen data platform by collaborating with cross-functional stakeholders.
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   Work with the client to define, establish and implement the right modelling approach as per the requirement
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   Help define the standards and best practices
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   Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.
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   Coach team members, and review code artifacts.
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   Contribute to proposals and RFPs
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 <strong>
  What do we expect?
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 <ul>
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   10+ years of experience in Data space.
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   Decent SQL knowledge
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   Able to suggest modeling approaches for a given problem.
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   Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)
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   Real-time experience working in OLAP &amp; OLTP database models (Dimensional models).
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   Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.
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   Eye to analyze data &amp; comfortable with following agile methodology.
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   Adept understanding of any of the cloud services is preferred (Azure, AWS &amp; GCP)
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   Enthuse to coach team members &amp; collaborate with various stakeholders across the organization and take complete ownership of deliverables.
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   Experience in contributing to proposals and RFPs
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   Good experience in stakeholder management
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   Decent communication and experience in leading the team
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Architect – Data Modelling (CT1014FI RM 3627)

N Consulting Limited

LocationBloomsbury Square, London, United Kingdom# Technology Architect - Data Engineering at N Consulting LtdLocationBloomsbury Square, London, United KingdomSalary£400 - £500 /dayJob TypeContractDate PostedSeptember 17th, 2025Apply Now We're Hiring: Technology Architect - Data Engineering (Hybrid - London) Contract: 6 months Work Mode: Hybrid (12 days WFO/month)We are looking for an experienced Technology Architect with deep expertise in PySpark, ADF, and Databricks to lead and design data engineering solutions for our client. What You'll Do: Lead technical design using Medallion architecture and Azure ServicesCreate conceptual diagrams, source-to-target mapping, and dimensional data modelsGuide the data engineering team on development with ADF, Databricks, Python, JSON, and YAMLImplement performance optimization strategies during data transformationDeploy code artifacts using GitHub Workflows/CI-CD pipelines Collaborate effectively with team members and stakeholdersOptional: Work with Log Analytics and KQL queries Must-Have Skills: 10+ years of experience in Data Engineering Hands-on experience with PySpark, ADF, Databricks, SQL Strong understanding of dimensional modeling, normalization, schema design, and data harmonization Experience with Erwin and data modeling toolsExcellent communication, problem-solving, and client-facing skills Why Join Us: Work in a dynamic, collaborative environment Hands-on experience with cutting-edge Azure data engineering technologies Hybrid setup providing flexibility while staying connected to the team<img src="https://www.jobg8.com/Tracking.aspx?8I79n2dBKkRvNJmK9ygcKi%2f0hzunNcynz" width="0" height="0" />

Technology Architect - Data Engineering

House of Consumer items

<p>The Sr. Developer / Architect provides technical leadership across Oracle Analytics Cloud projects. This role owns the end-to-end technical design and ensures alignment with enterprise architecture, data governance, and security standards.</p><p>Architect and design scalable OAC solutions across multiple subject areas.<br/>Lead data modeling efforts (logical, physical, semantic).<br/>Leverage data from integrations to OAC from other applications.<br/>Define standards for report design, RPD layers, and security frameworks.<br/>Guide development teams and review deliverables for quality and performance.<br/>Collaborate with enterprise architects, data governance, and security leads.</p><p>5+ years of experience in OAC.<br/>Deep expertise in RPD modeling, data visualization, and performance tuning.<br/>Familiar with Oracle Cloud Infrastructure (OCI) and relevant PaaS/IaaS services.<br/>Proven track record of leading analytics architecture in regulated industries.<br/>Strong cross-functional leadership skills.</p><p>Job Type: Full-time</p><p>Pay: From Rs250,000.00 per month</p><p>Work Location: In person</p>

Sr. Developer / Architect

SoftwareOne

<div>Job Function: Sales The role:
<ul><li><b>Solution Architect &ndash; Data &amp; AI (AWS</b> )to join our team will play a crucial role in designing and implementing data analytics and Generative AI solutions on the Amazon Web Services (AWS) platform.</li><li><b>
Solution Design</b>: Collaborate with multi-functional teams to capture requirements, design end-to-end data analytics solutions, and build architectural diagrams and documentation.</li><li><b>
AWS Expertise:</b> Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms.</li><li><b>
Data Modeling:</b> Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.</li><li><b>
Scalability and Performance:</b> Architect solutions that are scalable, impactful, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.</li><li><b>
Data Integration:</b> Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.</li><li><b>
Security and Compliance:</b> Implement security measures and standard processes to protect sensitive data and ensure compliance with industry standards and regulations.</li><li><b>
Solve and Optimization:</b> Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.</li><li><b>
Collaboration:</b> Work closely with data engineers, data scientists, business analysts, and collaborators to understand their needs and provide technical mentorship.</li><li><b>
Innovation:</b> Stay up-to-date with industry trends and new technologies to recommend innovative solutions that improve our data analytics capabilities.</li></ul>
What we need to see from you:
<ul><li>The ideal candidate will have a deep understanding of data analytics technologies, Generative AI , AWS and AI/ML services and a track record of architecting scalable and efficient data and AI driven solutions to address complex business challenges.</li><li>
Overall 9 - 12yrs inudustry experience, Good experience (3+ years) as a Solution Architect &amp; Pre-sales or similar role, with a focus on data analytics, Generative AI and AWS cloud technologies, and experience and knowledge on Microsoft Azure Data Analytics technology is a plus.</li><li>
Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.</li><li>
Solid grasp of data modeling, ETL processes, data warehousing, and data governance principles.</li><li>
Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.</li><li>
Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.</li><li>
Good interpersonal skills to efficiently collaborate with technical and non-technical teams.</li><li>
AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.</li><li>
Experience in working with Agile methodologies and version control systems.</li><li>
Demonstrable ability to work independently and prioritise efficiently.</li><li>
knowledge of Gen AI and AWS offerings like Bedrock and Q.</li><li>
Bachelors or associate degree in IT discipline</li><li>
Certification in <b>AWS Certified: Solution Architect </b>and <b>AWS Certified: Data Analytics Specialty</b> are must.</li></ul>
Why SoftwareOne?:
<div>
SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications &ndash; and in parallel, to navigate and optimize the resulting software and cloud changes &ndash; SoftwareOne unlocks the value of technology. The company&rsquo;s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.softwareone.com/en</div></div><div></div>

Presales Solution Architect - Data & AI

Urgent openingShree Dhanya Info for the post of the Data Entry Operator

<p>Job Title: Master Data Management (MDM) Architect</p><p>Location: [Specify &ndash; Onsite/Hybrid/Remote]</p><p>Experience: 10+ years overall, with 5+ years in MDM architecture and solution design</p><p>Role Overview:</p><p>The MDM Architect will be responsible for defining and implementing the enterprise MDM strategy, architecture, and governance framework. This role involves designing scalable, secure, and high-performing MDM solutions across domains such as Customer, Product, Vendor, and Location data. The architect will work closely with business and IT teams to ensure data consistency, integrity, and quality across the organization.</p><p>Key Responsibilities:</p><p>Define and own the overall MDM architecture, including data models, workflows, integrations, and governance.</p><p>Design and implement end-to-end MDM solutions using leading MDM tools (e.g., Informatica MDM, Reltio, SAP MDG, TIBCO EBX, or equivalent).</p><p>Develop data integration strategies with source and target systems (ERP, CRM, PLM, DWH, etc.).</p><p>Partner with business stakeholders to establish data governance, stewardship, and quality frameworks.</p><p>Lead data modeling, entity resolution, hierarchy management, and metadata management efforts.</p><p>Establish best practices for data acquisition, cleansing, enrichment, and golden record creation.</p><p>Ensure compliance with enterprise security and privacy standards (GDPR, CCPA, etc.).</p><p>Provide architectural guidance during MDM implementation, migration, and performance tuning.</p><p>Collaborate with enterprise architects and cloud teams to integrate MDM with cloud data platforms (e.g., Google Cloud Platform, BigQuery, Dataflow).</p><p>Mentor technical teams on MDM architecture, data quality, and master data lifecycle management.</p><p>Job Type: Full-time</p><p>Pay: &#8377;256,898.79 - &#8377;1,620,525.65 per year</p>

Master Data Management

talabat

<div> <p> <strong>What s On Your Plate?</strong> </p> <p> <strong>As an Analytical Engineer and Data Architect, you will be responsible for:</strong> </p> <p> <strong>1. Data Product Development &amp; Ownership</strong> </p> <ul> <li> <p>Build and Maintain: Design, build, and maintain enterprise data warehouses and analytical data marts.</p> </li> <li> <p>Translate Needs: Work closely with data scientists, product managers, and business teams to understand their problems and translate complex business requirements into robust data models and data products.</p> </li> <li> <p>End-to-End Responsibility: Take full ownership of data products from concept to production, ensuring they are scalable, reliable, and well-documented.</p> </li> </ul> <p> <strong>2. Data Quality &amp; Governance</strong> </p> <ul> <li> <p>Enhance Data Quality: Implement and enforce data quality and governance standards throughout the data pipeline, moving checks and enrichment upstream.</p> </li> <li> <p>Root Cause Analysis: Proactively identify data quality and governance shortfalls, perform root cause analysis, and implement solutions with monitoring mechanisms.</p> </li> </ul> <p> <strong>3. Cross-Functional Collaboration</strong> </p> <ul> <li> <p>Collaborate: Partner with data engineers to ensure smooth data ingestion from source systems and with backend engineers to define and implement data contracts.</p> </li> <li> <p>Consult: Serve as a subject matter expert for analytical and business teams, guiding them on best practices for data consumption and model design.</p> </li> </ul> <p> <strong>4. Data Pipeline &amp; Modeling Expertise</strong> </p> <ul> <li> <p>Pipeline Management: Design and optimize data pipelines to support data transformation, data structures, metadata, and dependency management.</p> </li> <li> <p>Modern Modeling: Apply a variety of data modeling techniques, including modern methods, to build efficient and flexible data solutions.Qualifications </p></li></ul></div> <div> <p> <strong>What Did We Order?</strong> </p> <ul> <li> <p>Experience: 5+ years of experience in data management, with a strong focus on analytical engineering.</p> </li> <li> <p>Technical Skills: Advanced SQL knowledge and experience with relational and non-relational databases. Proficient in building and optimizing data pipelines and analytical data models.</p> </li> <li> <p>Data Modeling: Solid experience with various data modeling techniques, including modern methodologies.</p> </li> <li> <p>Center of Excellence: Build best practices and processes supporting data transformation, data structures, metadata, dependency, and workload management.</p></li> <li> <p>Problem-Solving: A strong problem-solver with a figure it out growth mindset and a keep it simple approach.</p> </li> <li> <p>Collaboration: Proven ability to work effectively with cross-functional teams in a dynamic environment. Excellent collaborator and communicator who can translate business needs into technical solutions.</p> </li> <li> <p>Ownership: A strong sense of ownership and accountability for data products and their impact.</p> </li> <li> <p>Education: Bachelor's degree in engineering, computer science, technology, or a similar field.</p> </li> </ul> </div>

Sr. Data Architect

<div></div><div><div><div><div><ul><div>9 - 12 Years</div>
<div></div><div>1 Opening</div>
 <div>Mumbai, Pune</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><h3 class="jobSectionHeader"><b>Role Overview</b></h3>
<p>
We are seeking a highly experienced <b>Data Architect</b> with over 10 years in IT and at least 4+ years in data architecture or principal data engineering roles. The ideal candidate will design, implement, and govern large-scale data platforms in cloud environments, ensuring performance, scalability, and security.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul>
<li><p>Design and govern <b>enterprise data architecture</b>, including data lakes, data warehouses, data marts, and operational data stores (ODS).</p>
</li>
<li><p>Lead the implementation of <b>cloud-based data solutions</b> using <b>AWS</b>, <b>Azure</b>, or <b>Google Cloud Platform (GCP)</b>.</p>
</li>
<li><p>Architect scalable <b>data ingestion</b>, <b>transformation</b>, and <b>governance frameworks</b> aligned with organizational data strategy.</p>
</li>
<li><p>Define <b>data modeling standards</b> and implement relational and NoSQL database solutions.</p>
</li>
<li><p>Develop and optimize <b>modern data warehousing</b> solutions (e.g., <b>Snowflake</b>, <b>Amazon Redshift</b>, <b>Google BigQuery</b>).</p>
</li>
<li><p>Leverage <b>Big Data</b> and <b>streaming technologies</b> such as <b>Apache Spark</b>, <b>Kafka</b>, and <b>Kinesis</b>.</p>
</li>
<li><p>Establish data security, access control, and governance policies across the data ecosystem.</p>
</li>
<li><p>Collaborate with business and technology stakeholders to align data architecture with business goals.</p>
</li>
<li><p>Mentor data engineers and ensure best practices in data design and implementation.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Core Competencies</b></h3>
<ul>
<li><p>Strong communication skills to explain architectural concepts to both technical and non-technical audiences.</p>
</li>
<li><p>Strategic thinker with strong problem-solving and influencing skills.</p>
</li>
<li><p>Ability to translate business objectives into scalable data solutions.</p>
</li>
<li><p>Continuous learning mindset with adaptability to emerging data technologies (Cloud, GenAI, Streaming).</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul>
<li><p><b>Bachelor&rsquo;s or Master&rsquo;s Degree</b> in Computer Science, Data Science, or a related technical field.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul>
<li><p>Experience in <b>UK financial services</b> or <b>pensions administration</b> domain.</p>
</li>
<li><p>Background in <b>product-centric</b> or <b>SaaS</b> environments.</p>
</li>
<li><p>Knowledge of <b>MLOps</b> principles and architectures supporting <b>machine learning</b> and <b>GenAI</b> applications.</p>
</li>
<li><p>Relevant <b>cloud certifications</b> such as:</p>
<ul>
<li><p>AWS Certified Data Analytics &ndash; Specialty</p>
</li>
<li><p>Azure Data Engineer Associate</p>
</li>
<li><p>Google Professional Data Engineer</p>
</li>
</ul></li></ul></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Cloud,Data Architecture,Data Warehousing,Data Modeling</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Specialist I - Data Science

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