senior data warehouse architect

Advansys ME

Senior Data Architect is responsible for design and integration of data architecture across business solutions, ensuring that every solution aligns with enterprise data standards and supports strategic data initiatives.
 
The data architect provides hands-on leadership in designing solution data models, integration patterns, and data sharing mechanisms—balancing innovation with control
 
Primary Responsibilities and Activities
 
Apply enterprise data principles and standards at the solution level, ensuring consistent data design and interoperability.
 Document the Data Flows / lineage visualizing the "as-is" data movement across key components of the Data landscape.
 Contribute in overall modeling standards, guidelines, best practices and approved modeling techniques and approaches.
 Contribute in governing the creation of all physical and logical data models in the organization.
 Lead the data architecture stream within solution delivery projects, driving the end-to-end design of data flows, data stores, and integration patterns
 Participate in due diligence of new software purchases by reviewing all proposed data models contained in packaged or commercially available applications.
 Serve on data integration, business intelligence and content management competency panels or teams.
 Serves as a key connector between the Solution Architecture team and the Data Management Office, ensuring data quality, governance, and compliance are embedded early in the solution lifecycle.
 Ensure, gatekeeper functions are effectively defined and managed to reduce data redundancy and increase accuracy during the Solution lifecycle.
 Liaise with the data modeling team, data warehouse team and the application owners in understanding the data interface requirements and help the project team developers to resolve issues related with data requirements.
 Contribute in selection of data management tools, and the development of standards, usage guidelines and procedures for those tools.
 Work & liaise with various technology and business stakeholders in resolving and escalating issues related with the data solutions and seek their concurrence and approval as per the established process during the SDLC until the solution is deployed.
 Provide feedback and improvements over the standards, methodologies, processes and best practices to the enterprise architecture team to review and update enterprise architecture standards both at the group and organization level.
 Provide data architecture support for RFPs, solution proposals, and vendor evaluations as part of the architecture governance process
 Contribute to continuous improvement of data architecture standards, data modeling templates, and delivery methodologies
 Partner with data engineering, BI, and analytics teams to ensure seamless pipeline integration and data availability for downstream use cases
 Work with the Data Quality / Governance teams in understanding areas where data architecture enhancement will assist the overall quality of the Group’s data.
 Educate senior business representatives in best practices for data quality and to work with them to identify realistic goals and data initiatives
 Stay updated with emerging data technologies/ industry trends and propose innovative solutions to improve Organization's Data Architecture, ensuring the data solutions are robust, scalable and secure.
 
Requirements
 Minimum 10+ years of overall experience in data architecture, data modeling, and enterprise data integration, within banking or other highly regulated environments.
 Strong hands-on expertise in Data Modeling (conceptual, logical & physical) using industry standard tools like Erwin etc.
 Excellent analytical, problem-solving, and communication skills to effectively translate Business/functional concepts to technical concepts and collaborate with diverse teams
 A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
 Strong working knowledge of Data Architecture and Architecture governance frameworks such as DAMA-DMBOK, TOGAF (data domain), and enterprise data modeling standards, with hands-on experience applying these frameworks within the SDLC will be an added advantage

Senior Data Architect| Banking

Advansys

Senior Data Architect is responsible for design and integration of data architecture across business solutions, ensuring that every solution aligns with enterprise data standards and supports strategic data initiatives.
 The data architect provides hands-on leadership in designing solution data models, integration patterns, and data sharing mechanisms—balancing innovation with control
 
Primary Responsibilities and Activities
 <ul>
<li>Apply enterprise data principles and standards at the solution level, ensuring consistent data design and interoperability.</li>
<li>Document the Data Flows / lineage visualizing the "as-is" data movement across key components of the Data landscape.</li>
<li>Contribute in overall modeling standards, guidelines, best practices and approved modeling techniques and approaches.</li>
<li>Contribute in governing the creation of all physical and logical data models in the organization.</li>
<li>Lead the data architecture stream within solution delivery projects, driving the end-to-end design of data flows, data stores, and integration patterns</li>
<li>Participate in due diligence of new software purchases by reviewing all proposed data models contained in packaged or commercially available applications.</li>
<li>Serve on data integration, business intelligence and content management competency panels or teams.</li>
<li>Serves as a key connector between the Solution Architecture team and the Data Management Office, ensuring data quality, governance, and compliance are embedded early in the solution lifecycle.</li>
<li>Ensure, gatekeeper functions are effectively defined and managed to reduce data redundancy and increase accuracy during the Solution lifecycle.</li>
<li>Liaise with the data modeling team, data warehouse team and the application owners in understanding the data interface requirements and help the project team developers to resolve issues related with data requirements.</li>
<li>Contribute in selection of data management tools, and the development of standards, usage guidelines and procedures for those tools.</li>
<li>Work & liaise with various technology and business stakeholders in resolving and escalating issues related with the data solutions and seek their concurrence and approval as per the established process during the SDLC until the solution is deployed.</li>
<li>Provide feedback and improvements over the standards, methodologies, processes and best practices to the enterprise architecture team to review and update enterprise architecture standards both at the group and organization level.</li>
<li>Provide data architecture support for RFPs, solution proposals, and vendor evaluations as part of the architecture governance process</li>
<li>Contribute to continuous improvement of data architecture standards, data modeling templates, and delivery methodologies</li>
<li>Partner with data engineering, BI, and analytics teams to ensure seamless pipeline integration and data availability for downstream use cases</li>
<li>Work with the Data Quality / Governance teams in understanding areas where data architecture enhancement will assist the overall quality of the Group’s data.</li>
<li>Educate senior business representatives in best practices for data quality and to work with them to identify realistic goals and data initiatives</li>
<li>Stay updated with emerging data technologies/ industry trends and propose innovative solutions to improve Organization's Data Architecture, ensuring the data solutions are robust, scalable and secure.</li>
</ul>
Requirements: 
<ul>
<li>Minimum 10+ years of overall experience in data architecture, data modeling, and enterprise data integration, within banking or other highly regulated environments.</li>
<li>Strong hands-on expertise in Data Modeling (conceptual, logical & physical) using industry standard tools like Erwin etc.</li>
<li>Excellent analytical, problem-solving, and communication skills to effectively translate Business/functional concepts to technical concepts and collaborate with diverse teams</li>
<li>A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field</li>
<li>Strong working knowledge of Data Architecture and Architecture governance frameworks such as DAMA-DMBOK, TOGAF (data domain), and enterprise data modeling standards, with hands-on experience applying these frameworks within the SDLC will be an added advantage</li>
</ul>

NorthBay Solutions

<div>Job Title: Data Architect &ndash; AWS, Data Migration &amp; Lakehouse 
Location: Dubai, UAE (100% Onsite) 
Experience Required: 14&ndash;16+ Years 
Employment Type: Full-Time
Job Summary 
We are seeking a highly experienced Data Architect with 14&ndash;16+ years of expertise to design, build, and govern enterprise-scale AWS data platforms. The ideal candidate will have strong hands-on architectural experience across AWS data services, batch and event-driven processing frameworks, orchestration, and data governance. You will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions. 
 
Note: This role is onsite in Dubai, UAE, and candidates currently outside the UAE must be willing to relocate.
Key Responsibilities<ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul>
Required Skills and Technologies<ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul>
Experience and Qualifications<ul><li>
14&ndash;16+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability and willingness to work onsite in Dubai, UAE (relocation required if outside UAE)</li></ul>
Preferred Qualifications<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
JI7gwEvrHw</div>

Data Architect – AWS, Data Migration & Lakehouse

Envoy global

<div><div>Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.</div>
<div>
We have an exciting opportunity within Envoy Global's Data &amp; Analytics team for an experienced Senior Manager, Data Warehousing to join us on a full‑time, permanent basis. This role is responsible for leading a team of data engineers in designing, building, and optimizing scalable data platforms that support analytics, reporting, and enterprise-wide data initiatives.

As a key member of the Data &amp; Analytics sub‑department, this position will play a critical role in shaping Envoy's data engineering roadmap and ensuring the delivery of high‑quality, secure, and reliable data assets. The Senior Manager will partner closely with BI &amp; Analytics leaders, Architecture, DataOps, and Engineering teams to build data models, pipelines, and integration frameworks that power meaningful insights across the organization. This role also involves mentoring engineering talent, driving data governance standards, and contributing to an Agile environment to ensure timely and impactful delivery of data solutions.
</div>
As our Senior Manager, Data Warehousing, you will be required to:
<ul>
<li>Responsible for planning and developing technical roadmap for data and analytics platforms</li>
<li>Lead all aspects of the design, implementation, and maintenance of data engineering pipelines in our Azure environment including integration with a variety of data sources</li>
<li>Responsible for building robust data models that support dimensional model data warehouse operations</li>
<li>Collaborate with Data Analytics and DataOps teams and other partners in Architecture, Engineering and Devops teams to delivery high quality data platforms that enable analytics solutions for the business</li>
<li>Ensure data engineering standards are in line with established principles of data governance, data quality and data security</li>
<li>Monitor and optimizes the performance of data pipelines, ensuring they meet SLAs in terms of data availability and quality</li>
<li>Hire, manage and mentor a team of Data Engineers and Data Quality Engineers</li>
<li>Communicate clearly and effectively with stakeholders</li>
<li>Participate in an Agile/Scrum methodology to deliver high-quality releases every few weeks</li>
</ul>
To apply for this role, you should possess the following skills, experience and qualifications:
<ul>
<li>Minimum 5 years of technical experience in one or more of the cloud-based data warehouse/data lake platforms such as AWS, Snowflake, Azure Synapse</li>
<li>Minimum 8 years of ETL experience using SSIS, ADF or another equivalent tool</li>
<li>Knowledgeable in Data Modeling and Data warehouse concepts</li>
<li>Demonstrated ability to write SQL/TSQL queries to retrieve/modify data</li>
<li>Knowledge and know-how to troubleshoot potential issues, and experience with best practices around database operations</li>
<li>Ability to work in an Agile environment</li>
<li>Ability to learn new tools and technologies and adapt to an evolving tech-scape</li>
<li>Experience with one or more of visualization tools such as Power BI, Tableau, SpotFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical tools is a plus</li>
<li>Bachelor's or Master's in Computer Science OR Data Analytics</li>
<li>10+ years of experience as a Data Engineer with 3+ years of experience in a managerial role</li></ul> 


If this role excites you, please take a moment to complete the questionnaire below and attach your current resume. We look forward to your prompt response.</div>

Senior Manager, Data Warehousing

9th Way Insignia

<div><div>9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at https://9thwayinsignia.com/.

Application password: Niner</div>
Project Introduction

9th Way Insignia is looking for a Database Architect, Senior to support the Department of Veterans Affairs (VA) Enterprise Acquisition Systems Support (EASS) program, enabling the Electronic Contract Management System (eCMS) portfolio&mdash;an integrated environment of COTS, GOTS, and custom solutions that supports VA acquisition modernization and data-driven decision-making. This role provides senior-level database architecture and administration, ensuring secure, reliable, and high-performing data services that support operational continuity, integrations, and enterprise reporting.

Professional Level

The Database Architect, Senior position aligns as an E3 (Engineer 3) at 9th Way Insignia. An Engineer 3 is an experienced engineer who works independently on complex assignments, applies advanced problem-solving skills to design and implement durable technical solutions, and is expected to contribute to technical direction through mentoring, code quality leadership, and strong engineering judgment. This level typically operates with minimal supervision, collaborates effectively across technical and non-technical stakeholders, and consistently delivers high-impact outcomes.

Responsibilities
<ul>
<li>Provide full-spectrum database architecture and DBA support across the EASS eCMS portfolio, ensuring performance, data integrity, scalability, and compliance with enterprise standards.</li>
<li>Architect, administer, and optimize SQL Server environments, including schema management, stored procedures/functions, indexing strategies, query optimization, and performance tuning.</li>
<li>Design and implement database structures, create tables, and establish data relationships to support application enhancements and integrations.</li>
<li>Produce optimized SQL queries and data structures that support enterprise reporting and analytics consumption needs.</li>
<li>Develop and maintain a comprehensive data dictionary and ensure regular updates to reflect schema and data model changes.</li>
<li>Analyze database performance improvement opportunities and support modernization efforts, including streamlining data movement patterns that support service reliability and reporting.</li>
<li>Support identity and encryption-related implementation and maintenance activities impacting database access and protection, coordinating with security and platform stakeholders.</li>
<li>Produce and maintain recurring database reporting artifacts, including schema management reports, system performance reports, and security compliance reporting.</li>
<li>Ensure database work supports auditability, operational readiness, and predictable release implementation through clear documentation and disciplined change control.</li>
<li>Collaborate with engineering, integration, and reporting teams to ensure database changes are implemented, tested, and deployed predictably and safely.</li>
</ul>
Requirements
<ul>
<li>Master's degree in Computer Science, Electronics Engineering, or other engineering/technical discipline (required); ten (10) additional years of directly relevant experience may be considered in lieu of meeting the degree requirement.</li>
<li>Five (5)+ years of experience performing senior-level database architecture and/or DBA responsibilities in enterprise environments.</li>
<li>Demonstrated expertise with Microsoft SQL Server, relational data modeling, T-SQL, stored procedures, indexing, query optimization, and performance tuning.</li>
<li>Experience supporting data movement and reporting needs (e.g., ETL patterns, integrations, and analytics consumption).</li>
<li>Proven ability to produce and maintain technical database documentation and recurring operational reports (e.g., data dictionary, schema change documentation, performance and compliance reporting).</li>
<li>Strong stakeholder communication skills and ability to coordinate work across engineering, security, and reporting teams in a structured delivery environment.</li>
<li>Ability to obtain and maintain a Public Trust clearance at the Tier 2 (Moderate Risk) level (active preferred).</li>
</ul>
Preferred
<ul>
<li>Experience supporting federal programs and governance-heavy environments with strong documentation and compliance expectations.</li>
<li>Experience supporting authentication/authorization and encryption patterns that impact database access and data protection.</li>
<li>Relevant certifications (e.g., Microsoft SQL Server, Azure/AWS database specialty, security-focused credentials).</li>
</ul><div>
9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Clearance/Background Investigation 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Benefits 
Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&amp;D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance.

Legal 
We're an equal employment opportunity employer that empowers our people to fearlessly drive change &ndash; no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.</div></div>

Senior Database Architect

Radar Hire LLC

If you are interested and want to apply please go through our website to proceed: http://careers.usjobfinders.com/p/46acffff0383-ai-data-architect-remoteAbout the Role:Radar Hire is seeking a highly experienced and forward-thinking AI Data Architect to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.You&rsquo;ll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions&mdash;ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.Key Responsibilities<ul><li>Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems</li><li>Build and optimize ETL/ELT pipelines that support real-time and batch data processing</li><li>Define and enforce best practices for data modeling, schema design, and metadata management</li><li>Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows</li><li>Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)</li><li>Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)</li><li>Monitor data quality and establish automated validation and anomaly detection processes</li><li>Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams</li><li>Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years in data architecture, data engineering, or a related field</li><li>Strong understanding of AI/ML systems and how they interface with structured and unstructured data</li><li>Expertise with cloud platforms such as AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure</li><li>Proficient in Python, SQL, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)</li><li>Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)</li><li>Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)</li><li>Familiarity with MLOps, model lifecycle, and data versioning tools</li><li>Strong documentation, diagramming, and cross-functional communication skills</li><li>Security-first mindset with experience implementing data privacy and governance protocols</li></ul>Nice to Have<ul><li>Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings</li><li>Knowledge of Kubernetes, Docker, or cloud-native orchestration systems</li><li>Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;83,204.00 - E&pound;154,523.00 per monthApplication Question(s):<ul><li>Please confirm if you applied through our website so we can proceed with your application. https://radarhire.com/job/ai-data-architect-remote-id-2115/</li></ul>

AI Data Architect (Remote)

CRUTZ LEELA ENTERPRISES

Big Data Architect- LeadExperience: 10-12 yearsKey Responsibilities:<ul><li>Data Architecture Design: Designing and implementing scalable and resilient data</li></ul>architectures for both batch and streaming data processing.<ul><li>Data Modeling: Developing data models and database structures to ensure efficient</li></ul>data storage and retrieval.<ul><li>Data Security and Governance: Ensuring data security, integrity, and compliance</li></ul>with relevant regulations.<ul><li>Data Integration: Integrating data from various sources, including legacy systems,</li></ul>into the big data infrastructure.<ul><li>Performance Optimization: Monitoring and optimizing the performance of the big</li></ul>data infrastructure.<ul><li>Collaboration: Working with data scientists, engineers, and business stakeholders</li></ul>to understand requirements and translate them into technical solutions.<ul><li>Technology Selection: Evaluating and recommending new technologies and tools</li></ul>for data management and processing.<ul><li>Mentorship: Provide guidance and mentorship to junior team members.</li><li>Problem Solving: Identifying and resolving complex data challenges.</li><li>Participate in the pre and post sales process, helping both the sales, professional.</li></ul>Skills and Qualifications:<ul><li>Bachelor&rsquo;s / Master&rsquo;s degree in computer science, computer engineering, or</li></ul>relevant field.<ul><li>Overall 10+ years of experience, at least 2 years of experience in Big Data</li></ul>Architect.<ul><li>Strong understanding of big data technologies: Hadoop, Spark, NoSQL databases,</li></ul>cloud-based data services (AWS, Azure, GCP).<ul><li>Experience with open-source ecosystem programming languages (i.e., Python,</li></ul>Java, Scala, Spark etc.)<ul><li>Proficiency in data modeling and database design: SQL, NoSQL.</li><li>Experience with ETL processes: Extracting, transforming, and loading data.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and collaboration skills.</li><li>Experience with data security and governance principles.</li><li>Knowledge of API design and development.</li><li>Understanding of data visualization techniques.</li><li>Strong understanding of authentication (i.e. LDAP , Active Directory, SAML,</li></ul>Kerberos etc.) &amp;amp; authorization configuration for Hadoop based distributed systems.<ul><li>Familiarity of DevOps methodology &amp;amp; toolsets and automation experience.</li></ul>Job Types: Full-time, PermanentPay: ₹500,000.00 - ₹1,800,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Big Data Architect(Lead)

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Senior Data Architect| Banking

Senior Data Architect| Banking

Data Architect – AWS, Data Migration & Lakehouse

Senior Manager, Data Warehousing

Senior Database Architect

AI Data Architect (Remote)

Big Data Architect(Lead)