data warehouse architect

Brainlake

<div>
 The Data Platform Technology Architect leads the architecture, design, and evolution of the government's core data platforms &mdash; ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with Government-Wide strategy and policy.
 
 
 <ul>
 <li>
 Define and own the end-to-end architecture for core data platforms &mdash; ensuring scalability, performance, and security
 </li>
 <li>
 Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy
 </li>
 <li>
 Lead architecture and oversight of a complex ecosystem of data platforms &mdash; ensuring interoperability, consistency, and alignment across multiple vendors and technologies
 </li>
 <li>
 Design and govern the data sharing platform, enabling secure, standardized data flows across entities
 </li>
 <li>
 Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement
 </li>
 <li>
 Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics
 </li>
 <li>
 Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns
 </li>
 <li>
 Oversee platform lifecycle management &mdash; setup, operations, upgrades, migrations, and decommissioning of legacy platforms
 </li>
 <li>
 Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases
 </li>
 <li>
 Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment
 </li>
 <li>
 Drive platform adoption and value realization through enablement and use case activation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, Data Engineering, or related field
 </li>
 <li>
 20+ years in technology architecture &mdash; including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America)
 </li>
 <li>
 Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities
 </li>
 <li>
 Strong expertise across modern data platforms and technologies &mdash; e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar
 </li>
 <li>
 Demonstrated ability to assess, select, and harmonize technologies across diverse vendors
 </li>
 <li>
 Government or large-scale enterprise ecosystem experience strongly preferred
 </li>
 <li>
 Excellent English communication; Arabic a plus
 </li>
 </ul>
</div>

Data Platform Technology Architect

AMroute LLC

<div>
 Position: 1 Duration: 12 months Location: Dubai Address:
 
 
 3, Al Rigga road Al Muraqqabat, Deira, Dubai Level 7 Working Hours/Time Zone: 8 hrs/day, UAE time (following the UAE labour law) Onsite/Remote: Onsite interview process: All profiles will go through online test, only the candidates who cleared the test will go through the 2 rounds of interview - 1- Internal Technical discussion, 2- Client Technical discussion. Bill Rate: USD 20-22/hr -
 
 
 This will be the only rate accepted Top 3 requirements: Strictly follow the JD shared, Worked as a data modeller (must have - more than 8+ experience as data modeller), clear understanding on the data modelling concepts, has experience on implementing the data modelling in Lakehouse projects.
 
 
 Job Description: 8+ yrs of Data Modelling experience.
 
 
 Data Modeler - Azure Databricks (Medallion Architecture)
 
 
 Role Purpose
 
 
 Design and deliver implementation-ready logical and physical data models within Azure Databricks (Delta Lake) following Medallion Architecture (Bronze, Silver, Gold).
 
 
 The role ensures Data Engineers can immediately begin development with clear schema definitions, SQL structures, and zero ambiguity.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Modelling &amp; Design
 </li>
 <li>
 Develop Conceptual, Logical, and Physical Data Models.
 </li>
 <li>
 Define schemas, entities, attributes, relationships, keys, constraints, and data types.
 </li>
 <li>
 Provide DDL-ready SQL definitions for implementation.
 </li>
 <li>
 Clearly define fact table grain and dimensional structures.
 </li>
 <li>
 Azure Databricks - Medallion Modelling
 </li>
 <li>
 Design structured models across:
 
 
 </li>
 </ul>
 &cir; Bronze Layer - Raw ingestion, schema control.
 
 
 &cir; Silver Layer - Cleansed, conformed, standardized data.
 
 
 &cir; Gold Layer - Business-ready dimensional models.
 
 
 Data Modeler - Azure Databricks (Medallion Architecture)
 
 
 <ul>
 <li>
 Define transformation logic across layers (Bronze &rarr; Silver &rarr; Gold).
 </li>
 <li>
 Incorporate Delta Lake best practices (partitioning, performance, scalability).
 </li>
 <li>
 Advanced Modelling Techniques
 
 
 </li>
 </ul>
 Strong hands-on expertise in:
 
 
 <ul>
 <li>
 3rd Normal Form (3NF)
 </li>
 <li>
 Star Schema
 </li>
 <li>
 Snowflake Schema
 </li>
 <li>
 Data Vault (Hubs, Links, Satellites)
 
 
 </li>
 </ul>
 Must clearly define:
 
 
 <ul>
 <li>
 Fact grain
 </li>
 <li>
 Surrogate key strategy
 </li>
 <li>
 Slowly Changing Dimensions (Type 1 &amp; 2)
 </li>
 <li>
 Conformed dimensions
 </li>
 <li>
 Aggregation strategy
 </li>
 <li>
 Engineering &amp; Governance Alignment
 </li>
 <li>
 Ensure models are build-ready for Data Engineering teams.
 </li>
 <li>
 Review implementation alignment with design.
 </li>
 <li>
 Maintain ER diagrams, data dictionary, mapping documents.
 </li>
 <li>
 Enforce enterprise naming standards and modelling best practices.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 8+ years of hands-on Data Modelling experience.
 </li>
 <li>
 Strong SQL (DDL, partitioning, performance concepts).
 </li>
 <li>
 Proven experience in Azure Databricks and Delta Lake environments.
 </li>
 <li>
 Deep understanding of Medallion Architecture.
 </li>
 <li>
 Experience in enterprise Data Warehouse or Modern Data Platform projects.
 </li>
 <li>
 Proficiency with data modelling tools (ERwin, ER Studio, PowerDesigner, Lucidchart, or similar).
 </li>
 </ul>
</div>

Data Modeler – Azure Databricks (Medallion Architecture) - RAXJP00002194 - Dubai

MA'ADEN

<div>About Maaden
Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia&rsquo;s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
Job purpose
The Principal Specialist, Data Modeling &amp; Architecture (OT) is the architectural authority for modeling operational technology (OT) and industrial data, ensuring consistent representation of assets, events, measurements, and production contexts across plants, sites, and operational systems. The role enables trusted OT analytics by defining standard models that align historians, SCADA/DCS, condition monitoring, and maintenance data with enterprise IT data products.
The position ensures OT constraints&mdash;such as high-volume time-series data, latency requirements, site variability, and intermittent connectivity&mdash;are addressed through practical modeling patterns, semantic consistency, and governance-by-design across OT-to-IT integration.
Key Accountabilities
<div><ul><li>Define OT data modeling standards for time-series, events, alarms, and asset hierarchies to support operational analytics and reliability use cases.
</li></ul><ul><li>Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy) and ensure consistent adoption across sites and solutions.
</li></ul><ul><li>Architect OT-to-IT data alignment patterns that map operational measurements to enterprise entities for cross-domain reporting and performance analysis.
</li></ul><ul><li>Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags) and streaming ingestion patterns.
</li></ul><ul><li>Design scalable schemas for curated OT layers and OT data products, including auditability, lineage, and quality attributes.
</li></ul><ul><li>Partner with OT engineering, cyber/security, and platform teams to ensure secure, segmented, and compliant design for OT data flows.
</li></ul><ul><li>Review OT data solution designs and vendor deliverables; provide design authority to resolve modeling trade-offs and ensure long-term maintainability.
</li></ul><ul><li>Define reusable patterns for site onboarding and variability handling (naming normalization, tag mapping, unit standardization, reference data).
</li></ul>Coach engineers and modelers on OT semantics and modeling best practices; lead design reviews for critical OT initiatives. 
<ul><li>
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification
<ul><li>Bachelor&rsquo;s degree in Computer Science/Engineering, Industrial Engineering, Data Engineering, or related field.
</li><li>Master&rsquo;s degree preferred; OT/industrial systems background is an advantage.
</li></ul>Minimum Experience
<ul><li>10&ndash;15 years of experience in data modeling/architecture with demonstrated exposure to OT/industrial data landscapes.
</li><li>Experience working with historians, industrial protocols/systems, and integrating OT data into enterprise analytics platforms.
</li></ul>Maaden High Performance Competencies
<ul><li>Strategic Thinking &amp; Decision Making &ndash; Anticipates implications and guides enterprise direction.
</li><li>Collaboration &amp; Influencing &ndash; Aligns diverse stakeholders without direct authority.
</li><li>Execution Excellence &ndash; Sets high standards and ensures measurable outcomes.
</li><li>Innovation &amp; Adaptability &ndash; Applies modern practices and evolves standards pragmatically.
</li><li>Change Leadership &ndash; Drives adoption, governance, and continuous improvement.
</li></ul>Skills
<ul><li>Deep understanding of OT data characteristics (time-series, events, alarms, quality flags) and asset hierarchies.
</li><li>Ability to model and integrate OT and IT data for enterprise analytics and operational performance reporting.
</li><li>Knowledge of SCADA/DCS/historians, sensors, and industrial context; familiarity with reliability/maintenance data linkages.
</li><li>Strong governance-by-design mindset including classification, access control, and auditability for industrial data.
</li><li>Stakeholder engagement across plant/site operations, OT engineering, IT, and data platform teams.</li></ul></div>

Principal Specialist, Data Modeling & Arch (OT)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking a skilled and experienced SAP MM and Logistics architect to join our dynamic team. The ideal candidate will be responsible for implementing, supporting, and enhancing the SAP Material Management (MM) and Logistics modules to meet our organizational needs. This role involves working closely with stakeholders to analyze business requirements, design solutions, and ensure seamless integration with other SAP modules. 
 
Key job responsibilities 
<ul><li>Lead comprehensive business process analysis and requirements gathering workshops with supply chain, procurement, and logistics stakeholders.</li><li>Design and architect robust, scalable, and efficient SAP MM and Logistics solutions, developing detailed blueprints and strategic roadmaps from design through delivery.</li><li>Configure and customize core SAP MM modules, including Purchasing (PR, PO, RFQ), Inventory Management (IM), Invoice Verification (IV), Material Master Data, and Valuation.</li><li>Configure and integrate key logistics components, including Warehouse Management (WM) / Extended Warehouse Management (EWM) and Transportation Management (TM) functionalities.</li><li>Document configurations, customizations, and best practices for future reference and knowledge transfer.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Knowledge of materials management processes, including inventory management, purchasing, warehouse management, and material requirements planning</li><li>Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field, or 3+ years of industry work experience</li><li>4 + years implementing and configuring the SAP MM and Logistics modules.</li><li>Strong functional knowledge of SAP MM and its integration with other SAP modules (e.g., FI, SD, PP).</li><li>Experience in managing inter-company Stock Transport Orders, Stock Transfers, Transfer orders, Physical Inventory, Scrap Management, Material Valuation, Workflow Approvals and Vendor Invoicing and Verification.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of implementing and managing SAP ERP solutions, with a strong focus on SAP S/4HANA experience</li><li>Experience managing large-scale projects from end to end</li></ul>
- Experience integrating inbound and outbound processes with third-party logistics providers, using EDI framework - 850, 855, 856, 867, 940, 945, 810 for PO, PO change, Advance Shipping Notification, Warehouse shipping, Inventory movements, and Invoice transactions 
<ul><li>Experience with other SAP solutions like Ariba, IBP (Integrated Business Planning), or Digital Manufacturing and familiarity with Agile methodologies are advantageous.</li></ul>
- Certification in SAP MM (e.g., SAP Certified Application Associate - Materials Management) is preferred but not always mandatory. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually 
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually</div>

SAP MM & Logistics Architect , AWS SAP Team

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. 
 
As a Delivery Consultant specializing in Data Engineering &amp; Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. 
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position. 
 
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. 
 
Key job responsibilities 
As an experienced data professional, you will be responsible for: 
<ul><li>Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions</li><li>Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective</li><li>Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies</li><li>Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs</li><li>Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul> 
About the team 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS Amazon Web Services
 
(AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
 
 
Mentorship and Career Growth
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field</li><li>3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience</li><li>Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code</li><li>Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning</li><li>Current, active US Government Security Clearance of Top Secret or above</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda</li><li>Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization</li><li>Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures</li><li>Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures</li><li>Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually 
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually</div>

Data Engineer/Architect, WWPS ProServe Data and Machine Learning

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description (JD)</h1><h3 class="jobSectionHeader">
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</h3>
Location: Onsite - Riyadh 
Must Have: Experience over CVM implementation for Telco 
Experience: 8&ndash;12+ Years 
Industry Preference: Telecommunications<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead end-to-end data architecture design for enterprise data platforms and analytics solutions</li><li>
Design and implement scalable data warehouses, data lakes, and ETL pipelines</li><li>
Drive data modeling (logical &amp; physical) and semantic layer design</li><li>
Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps</li><li>
Ensure data quality, governance, and compliance across data assets</li><li>
Build and optimize high-performance data pipelines and reporting systems</li><li>
Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into technical solutions</li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive automation in reporting and data operations</li><li>
Manage performance tuning and optimization of databases and queries</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
Strong expertise in:<ul><li>
Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)</li><li>
ETL/ELT design and development</li><li>
SQL, Python, Shell Scripting</li></ul></li><li>
Hands-on experience with:<ul><li>
Data modeling tools (Erwin or equivalent)</li><li>
Data warehouse architecture</li><li>
Semantic layer design</li></ul></li><li>
Database experience:<ul><li>
Teradata, Oracle, MySQL, PostgreSQL</li></ul></li><li>
BI &amp; Reporting:<ul><li>
Tableau, MicroStrategy, QlikView</li></ul></li><li>
Familiarity with:<ul><li>
GitHub, C#, DataOps frameworks</li></ul></li></ul><h3 class="jobSectionHeader">
Functional Skills</h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Soft Skills</h2><ul><li>
Proven experience leading large-scale data programs</li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage cross-functional and distributed teams</li><li>
Experience in project delivery and technical governance</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s degree in Information Technology / Computer Science / Engineering or related field</li></ul><h2 class="jobSectionHeader">
Preferred Experience</h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in large transformation programs (e.g., system revamps, migrations)</li><li>
Exposure to product ownership or project management roles</li></ul>
o79llUR4WA</div>

Tech Lead – Data Engineering & Analytics

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. 
 
As a Delivery Consultant specializing in Data Engineering &amp; Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. 
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position. 
 
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. 
 
Key job responsibilities 
As an experienced data professional, you will be responsible for: 
 
<ul><li>Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions</li><li>Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective</li><li>Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies</li><li>Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs</li><li>Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul> 
About the team 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
 
 
Mentorship and Career Growth
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science, engineering, mathematics or equivalent</li><li>5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience</li><li>Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code</li><li>Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning</li><li>Current, active US Government Security Clearance of Top Secret or above</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda</li><li>Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization</li><li>Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures</li><li>Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures</li><li>Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually 
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually</div>

Senior Data Engineer/Architect, WWPS ProServe Data and Machine Learning

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