data architect

Infogen Labs

<div><div><div><p><b>Number of Positions:</b><b> </b><b>1</b></p></div></div><div><div><div><p><b>
Summary:</b></p></div><div><p>
Data Architect with extensive experience in managing and optimizing data architecture, particularly with a focus on DynamoDB and Redshift. The ideal candidate will possess a strong background in both traditional SQL databases and NoSQL databases, with a deep understanding of data modeling, optimization, and scalability.</p></div></div><div><div><p><b>
Responsibilities</b></p></div><div><ul><li>
Design and implement scalable data architectures utilizing DynamoDB and Redshif</li><li>
Collaborate with client, stakeholders and cross-functional teams to gather and analyze data requirements, and translate them into efficient database design,</li><li>
Develop and maintain data models, schemas, and structures to ensure optimal performance and reliabilit,</li><li>
Optimize database configurations, queries, and indexing strategies to enhance system performance and scalabilit,</li><li>
Implement data security measures and ensure compliance with regulatory standard,</li><li>
Monitor database performance, troubleshoot issues, and implement solutions to address bottlenecks and inefficiencie,</li><li>
Work closely with software engineers and data analysts to integrate data solutions into applications and analytical workflow,</li></ul></div></div><div><div><p><b>
Requirements</b></p></div><div><ul><li>
Proven experience as a Data Architect or similar role, with a minimum of 5 years of experience</li><li>
Extensive hands-on experience with DynamoDB and Redshift is required</li><li>
Strong proficiency in SQL and NoSQL database technologies, with a focus on data modeling, optimization, and performance tuning</li><li>
Solid understanding of data warehousing concepts, ETL processes, and data integration techniques</li><li>
Experience working in cloud environments, particularly with AWS services such as EC2, S3, and Lambda</li><li>
Excellent problem solving skills and the ability to troubleshoot complex database issues</li><li>
Familiarity with data governance principles and best practices</li><li>
Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders</li><li>
Demonstrated ability to work independently and as part of a team in a fast-paced environment</li><li>
AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified Big Data - Specialty)</li><li>
Experience with other NoSQL databases such as MongoDB or Cassandra</li><li>
Familiarity with agile software development methodologies</li></ul></div></div></div></div><p></p>

Data Architect

Environmental Resources Management

<div><div>An exciting opportunity has emerged for a seasoned Data Architect to become a vital member of our ERM Technology team. You will report to the Lead Enterprise Architect and join a dynamic team focused on delivering corporate and technology strategic initiatives. The role demands high-level analytical, problem-solving, and communication skills, along with a strong commitment to customer service. As the Data Architect for ERM, you will work closely with both business and technology stakeholders, utilizing your expertise in business intelligence, analytics, data engineering, data management, and data integration to significantly advance our data strategy and ecosystem.</div><div></div><div>
Key responsibilities include:</div><div></div><ul><li>
 Empowered to define the data and information management architecture for ERM.</li><li>
 Collaborate with product owners, engineers, data scientists, and business stakeholders to understand data needs across the full product lifecycle.</li><li>
 Ensure a shared understanding of our data, including its quality, ownership, and lineage throughout its lifecycle, from initial capture via client interaction to final consumption by internal and external processes and stakeholders.</li><li>
Ensure that our data landscape effectively meets corporate and regulatory reporting requirements.</li><li>
 Establish clear ownership and governance for comprehensive data domain models, encompassing both data in motion and data at rest.</li><li>
 Provide expert guidance on solution architecture, engineering principles, and the implementation of data applications utilizing both existing and cutting-edge technology platforms.</li><li>
Build a robust data community by collaborating with architects and engineers, leveraging this community to implement solutions that enhance client and business outcomes through data.</li></ul><div></div><div>
The successful candidate will have:</div><div></div><ul><li>
Proven experience as an enterprise data architect.</li><li>
Experience in end-to-end implementation of data-intensive analytics-based projects encompassing data acquisition, ingestion, integration, transformation and consumption.</li><li>
Proven experience in the design, development, and implementation of data engineering technologies.</li><li>
Strong knowledge of data management and governance principles.</li><li>
 A strong understanding of Azure and AWS service landscapes, particularly data services.</li><li>
Proven experience with various data modelling techniques.</li><li>
Understanding of big data architectures and emerging trends in technology.</li><li>
A solid familiarity with Agile methodologies, test-driven development, source control management, and automated testing.</li></ul><div></div><div><i>
Who We Are:</i></div><div><i>
As the world&rsquo;s leading sustainability consulting firm, ERM is uniquely positioned to contribute to the environment and society through the expertise and energy of our employees worldwide. Sustainability is what we do, and is at the heart of both our service offerings and how we operate our business. For our people, our vision means attracting, inspiring, developing and rewarding our people to work with the best clients and on the biggest challenges, thus creating valuable careers. We achieve our vision in a sustainable manner by maintaining and living our ERM values that include Accountability, Caring for our People, Client Focus, Collaboration, Empowerment, and Transparency.</i></div><div></div><div><br>
ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.</div><div></div><div><br>
ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status or disability status.</div><div></div><div><br>
Thank you for your interest in ERM!</div><div></div><div><div>
#LI-SN2</div><div>
#LI-Hybrid</div></div></div>

Avanza Solutions

<p>As a Data Architect for Data,&#8239;you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.&#8239;</p><p>In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you&rsquo;ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.</p><p>More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.</p><p>The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.</p><p><b>Key Requirements:</b></p><p>&middot; 12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud</p><p>&middot; At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.</p><p>&middot; Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,</p><p>&middot; Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.</p><p>&middot; Strong Spark, SQL, Data Modeling, Data lakehouse concepts.</p><p>&middot; Programming / scripting experience using python and scala.</p><p>&middot; 6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads</p><p>&middot; 4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics</p><p>&middot; 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.</p><p>&middot; Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders</p><p>&middot; Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions.</p><p>&middot; Experience with Agile development methods in data-oriented projects</p><p>&middot; Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)</p><p>&middot; Certifications in architecture, data engineering and development from Azure is preferred</p><p>&middot; Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.</p><p><b>Data Specialization:</b></p><p>&middot; Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases</p><p>&middot; Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities</p><p>&middot; Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations</p><p>&middot; Be the technical liaison between customers and engineering teams</p><p>&middot; Be a big data evangelist by educating a variety of customers on the value of cloud and data services</p><p>&middot; Ensure solutions are optimized for Azure&rsquo;s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs.</p><p>&middot; Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management.</p><p>&middot; Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault.</p><p>&middot; Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA).</p><p>&middot; Conduct risk assessments and remediate vulnerabilities across the Azure environment.</p><p>&middot; Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity.</p><p>&middot; Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC).</p><p>&middot; Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features.</p><p>&middot; Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement.</p><p><b>General Consultancy:</b></p><p>&middot; Present recommendations to clients using both written deliverables and face-to-face discussions</p><p>&middot; Develop deep relationships with clients and act as the single point of contact for client executives on data engagements</p><p>&middot; Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.</p><p>&middot; Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.</p><p>&middot; Guide customers during big data and cloud adoption by:</p><ul><li>Understanding drivers of technology change</li><li>Building business cases to undertake technology change</li><li>Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change</li><li>Identify gaps in customer maturity and capabilities in relation to their data strategy.</li><li>Identify areas of opportunity, and recommend future state improvements</li><li>Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.</li><li>Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.</li><li>Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.</li></ul><p><b>Certifications:</b></p><p>&middot; Microsoft Certified: Azure Solutions Architect Expert (preferred).</p><p>&middot; Microsoft Certified: Azure Security Engineer Associate (preferred).</p><p><b>Preferred Skills:</b></p><p>&middot; Experience with hybrid and multi-cloud environments.</p><p>&middot; Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions.</p><p>Familiarity with advanced analytics, AI, and machine learning use cases on Azure.</p><p>Job Type: Contract<br/>Contract length: 6 months</p><p>Pay: AED20,000.00 - AED24,000.00 per month</p>

Integrant

<div><p>We Are Hiring!</p><p>
Integrant is looking for game changers to join our team as &quot;Data Architect&quot; to join us, who will be responsible for designing solutions for the ingestion, storage, processing, transformation, enrichment, and presentation of data for analytical consumption. Their duties include but are not limited to eliciting requirements, selecting and customizing analytical architectures to address customer needs, design and build data pipelines, building data strategies and coaching clients and internal teams in the latest architectures (Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes, etc.) and methodologies (DataOps, MLOps, etc.).</p><p><b>
Requirements</b></p><ul>
<li>
15+ years of experience in data engineering.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Computer Engineering or other quantitative field. Post Graduate degrees preferable.</li>
<li>The ability to interact with stakeholders at multiple levels within a given organization, understand current analytical challenges and gathering requirements.</li>
<li>A deep understanding of the evolution of analytical architectures from reporting databases to data warehouses, data lakes, data lakehouses, data fabrics, data meshes and beyond. A data architect should also be able to technically justify how a proposed architecture would suffice a potential client&rsquo;s analytical needs.</li>
<li>Extensive experience with Microsoft on-prem Data Platform or equivalent (SSIS, SSAS &amp; SSRS).</li>
<li>Experience with optimizing query performance and setting up high availability configurations.</li>
<li>Experience with multiple data cloud vendor such as Microsoft Azure data services (e.g. MS Fabric, ADF, &hellip;) or AWS (S3, Lake Formation, Glue, Redshift, Kinesis,..)</li>
<li>Experience with Large Processing store (Databricks or Snowflake) or equivalent
</li><li>Strong Data warehouse Architecture and Dimensional modeling knowledge</li>
<li>Experience with Vibe Coding (e.g. Cursor/Codex/Claude Code)
</li><li>Experience with building Agentic Frameworks and LLM orchestration (e.g. LangGraph/AutoGen/CrewAI/Llamaindex/n8n)</li>
<li>Experience with Agent Protocol (e.g. MCP)</li>
<li>Familiarity with DataOps.</li></ul><p><b>
Benefits</b></p><ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi</li>
<li>Social insurance</li></ul></div>

infinite Computer Solution

<p></p><div><div><div><div>JD: EPIC Data Architect<ul><li>
10 years of experience with Epic's Clarity and Kaboodle data stores
</li><li>Client Facing skill</li></ul></div>
</div><div><p><b>Qualifications</b></p>
<div>BE</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>10</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>13</div></div></div></div><div></div>

Rackspace Technology

<div><div><div>As a Data Architectfor Data, you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.</div><div>
</div><div>
In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you&rsquo;ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.</div><div>
</div><div>
More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.</div><div>
</div><div>
The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.
</div><div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Key Requirements</b></h3><ul><li><ul><li>
12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
</li><li>At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.
</li><li>Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,
</li><li>Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.</li><li>
Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
</li><li>Programming / scripting experience using python and scala.</li><li>
6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads</li><li>
4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics</li><li>
5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.
</li><li>Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders</li><li>
Certifications in architecture, data engineering and development from Azure is preferred
</li><li>Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Data Specialization:
</b></h3><ul><li><ul><li>Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases</li><li>
Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities</li><li>
Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations</li><li>
Be the technical liaison between customers and engineering teams</li><li>
Be a big data evangelist by educating a variety of customers on the value of cloud and data services</li><li>
Ensure solutions are optimized for Azure&rsquo;s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs.</li><li>
Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management.</li><li>
Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault.</li><li>
Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA).</li><li>
Conduct risk assessments and remediate vulnerabilities across the Azure environment.</li><li>
Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity.</li><li>
Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC).</li><li>
Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features.</li><li>
Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>General Consultancy:
</b></h3><ul><li><ul><li>Present recommendations to clients using both written deliverables and face-to-face discussions</li><li>
Develop deep relationships with clients and act as the single point of contact for client executives on data engagements</li><li>
Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.
</li><li>Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.
</li><li>Guide customers during big data and cloud adoption by:</li><li>
Understanding drivers of technology change</li><li>
Building business cases to undertake technology change</li><li>
Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change</li><li>
Identify gaps in customer maturity and capabilities in relation to their data strategy.</li><li>
Identify areas of opportunity, and recommend future state improvements</li><li>
Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.</li><li>
Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.</li><li>
Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.
</li></ul></li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>Certifications</b></h3><ul><li><ul><li>
Microsoft Certified: Azure Solutions Architect Expert (preferred).</li><li>
Microsoft Certified: Azure Security Engineer Associate (preferred).</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Preferred Skills:
</b></h3><ul><li><ul><li>Experience with hybrid and multi-cloud environments.</li><li>
Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions.</li><li>
Familiarity with advanced analytics, AI, and machine learning use cases on Azure.</li></ul></li></ul></div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Changeis, Inc.

<div><div><b>Data Architect &ndash; Expression of Interest</b></div>
<div><br>
At Changeis, we partner with U.S. Federal agencies to build modern, secure, and scalable data ecosystems. As we continue to expand our data capabilities, we&rsquo;re seeking experienced Data Architects interested in future contract opportunities. If you excel at designing enterprise data platforms and enjoy shaping end-to-end data strategies, we encourage you to join our talent community.<br>
<br>
By submitting your expression of interest, you&rsquo;ll be among the first considered for upcoming contract roles aligned with your background. Most positions are remote and offer competitive compensation and benefits.<br>
<br>
Key Skills &amp; Qualifications We&rsquo;re Looking For:</div>
<div><br>
<b>Data Architecture &amp; Platform Design:</b><br>
Experience designing enterprise-scale data ecosystems including data lakes, data warehouses, and analytics platforms. Strong understanding of Medallion architecture patterns and modern data product design.<br>
<br>
<b>Data Modeling &amp; Governance:</b><br>
Ability to develop conceptual and logical data models, ontologies, and lineage documentation. Understanding of data governance principles and metadata management.<br>
<br>
<b>Integration &amp; Ingestion:</b><br>
Experience defining data integration standards and overseeing ingestion from diverse systems (RDBMS, ERP, CAD). Familiarity with tools like StreamSets and Palantir Foundry is a plus.<br>
<br>
<b>Cloud &amp; Engineering Leadership:</b><br>
Hands-on experience with cloud platforms (AWS preferred). Able to guide data engineering teams on best practices in modeling, quality, and performance optimization.<br>
<br>
<b>Communication &amp; Collaboration:</b><br>
Ability to translate complex architecture concepts for business, governance, and technical stakeholders.<br>
<br>
<b>Federal Experience &amp; Clearance:</b><br>
Experience in federal or regulated environments preferred. U.S. Citizenship required; the ability to obtain clearance is a plus.<br>
<br>
<b><i>Please Note: This is not a job posting for a specific role but an opportunity to express your interest in potential openings. By submitting your resume, you&rsquo;ll be considered for relevant opportunities as they become available.</i></b></div></div>

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