data architect

Relevantz Technology Services

<div></div><div><div><div><div><div><p><b>Job Title: </b><b>Data Architect</b></p>
<p><b>Location: Chennai</b></p>
<p><b>Experience: 13+ Years</b></p>
<p><b>Position Type: Fulltime</b></p>
<p><b>Skillsets Required: Data Architecture, AWS/GCP/Azure, Data Lake, ETL, SQL, Snowflake.</b></p>
<p>Roles Responsibilities:</p>
<p><b>Job Summary:</b></p>
<p>We are seeking an experienced <b>Data Architect</b> to design, develop, and optimize our enterprise data architecture. This role involves creating robust data models, ensuring data integrity and security, and enabling efficient data storage and retrieval to support business intelligence and analytics initiatives.</p>
<p>Key Responsibilities</p>
<p><b>Design and Develop Data Architecture:</b></p>
<ul>
<li>Create conceptual, logical, and physical data models.</li></ul><br>
<ul>
<li>Define database structures and data flow diagrams.</li>
</ul>
<p><b>Data Management &amp; Governance:</b></p>
<ul>
<li>Establish data standards, policies, and procedures.</li></ul><br>
<ul>
<li>Ensure compliance with data security and privacy regulations.</li>
</ul>
<p><b>Collaboration:</b></p>
<ul>
<li>Work closely with IT, data engineers, and business stakeholders to align data solutions with organizational goals.</li></ul><br>
<ul>
<li>Support data scientists and analysts with reliable data systems.</li>
</ul>
<p><b>Optimization &amp; Maintenance:</b></p>
<ul>
<li>Audit and troubleshoot existing data systems for performance improvements.</li></ul><br>
<ul>
<li>Implement backup and recovery strategies.</li>
</ul>
<p><b>Technology Evaluation:</b></p>
<ul>
<li>Research emerging data technologies and recommend adoption where appropriate.</li>
</ul>
<p>Required Skills &amp; Qualifications</p>
<ul>
<li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Systems, or related field.</li></ul><br>
<ul>
<li>Proven experience in <b>data modelling</b>, <b>database design</b>, and <b>data warehousing</b>.</li></ul><br>
<ul>
<li>Strong knowledge of <b>SQL</b>, <b>ETL processes</b>, and <b>cloud platforms</b> (AWS, Azure, GCP).</li></ul><br>
<ul>
<li>Familiarity with <b>Big Data technologies</b> (Hadoop, Spark) and <b>data governance frameworks</b>.</li></ul><br>
<ul>
<li>Excellent problem-solving and communication skills.</li>
</ul>
<p>Preferred Skills</p>
<ul>
<li>Experience with <b>data visualization tools</b> (Tableau, Power BI).</li></ul><br>
<ul>
<li>Knowledge of <b>NoSQL databases</b> and <b>data lake architecture</b>.</li></ul><br>
<ul>
<li>Programming skills in <b>Python</b>, <b>Java</b>, or similar languages.</li></ul></div></div></div></div></div><div></div>

Data Architect

atmaal

<div>
 <p>
  <strong>
   Data Architect ;
  </strong>
 </p>
 <p>
  The Data Architect is responsible for designing and implementing scalable, efficient, and secure data architecture that supports the data management and analytics needs of the Enterprise Data Platform. This role focuses on building a robust foundation for data storage, integration, and processing, ensuring seamless integration of data from various sources while optimizing performance, security, and cost.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, implement, and manage scalable and efficient data architecture for the Enterprise Data Platform on Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), or other cloud environments as required.
  </li>
  <li>
   Architect and implement data models and storage solutions, including data lakes, data warehouses, and analytics layers, optimized for performance, scalability, and cost efficiency.
  </li>
  <li>
   Collaborate with data engineers, data scientists, and technical teams to support advanced analytics, machine learning, and AI use cases.
  </li>
  <li>
   Define and enforce data governance practices, ensuring data security, privacy, and compliance with applicable standards and regulations.
  </li>
  <li>
   Design and implement ETL/ELT processes to efficiently ingest, cleanse, and transform data from multiple sources into a data Lake architecture.
  </li>
  <li>
   Develop and maintain a comprehensive data architecture strategy, focusing on continuous improvement and optimization of data pipelines and platforms.
  </li>
  <li>
   Provide guidance and mentorship to junior data engineers, and collaborate with business and technical stakeholders to capture and translate data requirements.
  </li>
  <li>
   Stay up to date with emerging trends and technologies in cloud and data architecture, ensuring adoption of best practices and innovation.
  </li>
  <li>
   Monitor data platform performance, troubleshoot issues, and continuously optimize solutions for reliability, efficiency, and scalability.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Expertise Required:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong experience in Data Architecture across large-scale enterprise environments.
  </li>
  <li>
   Proven experience in Solution Architecture (SA), with the ability to design end-to-end data solutions aligned with business and technical requirements.
  </li>
  <li>
   Solid exposure to Enterprise Architecture (EA), ensuring alignment with target-state architecture, enterprise standards, and technology roadmaps.
  </li>
  <li>
   Hands-on experience with Google Cloud Platform (GCP) and/or Oracle Cloud Infrastructure (OCI).
  </li>
  <li>
   Experience with data integration and orchestration tools such as Informatica.
  </li>
  <li>
   Strong knowledge of BigQuery, Google Cloud Storage, and GCP Native Services.
  </li>
  <li>
   Experience with API management and integration platforms such as Apigee.
  </li>
  <li>
   Strong understanding of event-driven and streaming architectures using Pub/Sub and Kafka.
  </li>
  <li>
   Knowledge of data governance, data quality, metadata management, and master data concepts.
  </li>
  <li>
   Experience in designing secure data platforms with a strong focus on performance, scalability, and cost optimization.
  </li>
  <li>
   Familiarity with local regulations and compliance requirements (e.g., data residency, privacy, and regulatory controls applicable in Saudi Arabia such as NDMO, PDPL, and related frameworks).
  </li>
  <li>
   Ability to work across multiple teams and initiatives, balancing tactical delivery with strategic architectural alignment.
  </li>
 </ul>
 <p>
 </p>
</div>


COZMALABS

<p>We are looking for a highly experienced <b>Senior Data Architect</b> to design, implement, and govern enterprise data solutions that enable business insights and drive strategic decision-making. The ideal candidate will have a proven track record of delivering scalable, high-performance data architectures, integrating multiple systems, and ensuring data quality, governance, and alignment with overall enterprise strategy.</p><p>Key Responsibilities</p><ul><li>Design and implement <b>enterprise data architectures</b> across ERP, CRM, and BI platforms</li><li>Lead database and data modeling efforts for <b>SQL (Oracle, PL/SQL) and NoSQL systems</b></li><li>Develop and govern <b>ETL pipelines, data integration, and transformation workflows</b></li><li>Define and implement <b>Master Data Management (MDM) strategies</b> and ensure data quality, consistency, and governance</li><li>Optimize queries, performance, and scalability for large datasets</li><li>Collaborate with business and technical stakeholders to align data architecture with enterprise strategy</li><li>Support dashboards, reporting, and analytics using BI tools (Power BI, Tableau, or equivalent)</li></ul><p>Requirements</p><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li><b>15+ years</b> of experience in data architecture or enterprise data management</li><li>Expertise in <b>SQL/NoSQL databases, PL/SQL, and complex query optimization</b></li><li>Experience with <b>ERP, CRM, and BI tools</b></li><li>Strong background in <b>ETL, data warehousing, and MDM strategy</b></li><li>Knowledge of cloud data platforms (AWS, Azure, Oracle Cloud)</li><li>Excellent analytical, communication, and stakeholder management skills</li></ul><p>Preferred</p><ul><li>Data architecture or cloud certifications (TOGAF, CDMP, or equivalent)</li><li>Experience in large-scale enterprise or regulated environments</li><li><b>Arabic language skills desirable but not mandatory</b></li></ul><p>Job Type: Full-time</p>

NorthBay Solutions

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect &ndash; AWS</b></h2><p><b>
Experience:</b> 12+ Years<br>
<b>Location:</b> Hybrid &ndash; Lahore, Karachi, Islamabad<br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul><p>
</p><p>Tn0IEhqF8t</p></div>

Data Architect – AWS

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect &ndash; AWS</b></h2><p><b>
Experience:</b> 12+ Years<br>
<b>Location:</b> Hybrid &ndash; Lahore, Karachi, Islamabad<br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul><p>
</p><p>OJhL7KfAS8</p></div>

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Data Architect - R01561308</b></h1>
<p></p><div><b>About Brillio:<br>
</b></div><div></div><br>
<div>Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as &quot;Brillians&quot;, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
</div><div>Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work&reg; certification year after year.</div><div></div><div><b><br>
Data Architect</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li><b>
About the Role</b></li><li>
We are seeking an experienced Data Architect to design and build scalable, cloud-native data platforms supporting IoT, operational systems, and enterprise analytics.</li><li>
This role requires a hands-on technical leader who can architect modern data pipelines, enable real-time and batch ingestion, and design performant serving layers for APIs and applications.</li><li>
The ideal candidate blends deep AWS expertise, strong data modeling skills, and the ability to translate business requirements into scalable technical solutions.</li></ul><div></div><div><b><br>
Key Responsibilities</b></div><ul><li><b>
Data Engineering &amp; Architecture</b></li><li>
Architect ingestion pipelines for streaming and event-based data (IoT telemetry)</li><li>
Implement time-window logic and event-to-state transformations</li><li>
Design, build, and optimize data pipelines using AWS Glue, Lambda, and Step Functions for ingestion, transformation, and curation.</li><li>
Develop and maintain data lakes (S3 + Lake Formation) and data warehouses (Redshift) to support analytics and visualization.</li><li>
Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.</li><li>
Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.</li><li>
Define and implement data models, partitioning strategies, and schema evolution best practices for performance and scalability.</li></ul><div>
</div><ul><li><b>
Security, Governance &amp; Compliance</b></li><li>
Implement data security policies, encryption, and role-based access controls using AWS IAM, KMS, Lake Formation, and Secrets Manager.</li><li>
Ensure compliance with organizational data governance and privacy standards.</li><li>
Maintain data cataloging, lineage, and access tracking within AWS Glue Data Catalog and Lake Formation.</li><li>
Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.</li></ul><div></div><div><b><br>
Required Skills &amp; Qualifications</b></div><ul><li>
12+ years of experience in data engineering and AWS data architecture.</li><li>
Strong expertise with AWS Glue, Redshift, S3, Lake Formation, Aurora (Postgres/MySQL).</li><li>
Proven experience building APIs or exposing curated datasets for web applications (preferably React or similar front-end frameworks).</li><li>
Strong programming skills in Python and SQL.</li><li>
Experience with data modeling, ETL/ELT frameworks, and performance optimization.</li><li>
Working knowledge of Terraform/CloudFormation and CI/CD practices.</li><li>
Understanding of data security, IAM policies, encryption, and governance frameworks.</li></ul><div></div><div><b><br>
Preferred Skills</b></div><ul><li>
Experience with Athena for ad-hoc analytics.</li><li>
Familiarity with API Gateway, AppSync, or GraphQL APIs for serving data to front-end applications.</li><li>
Knowledge of event-driven pipelines (Kinesis, EventBridge, kafka) and data quality monitoring.</li></ul><div></div><div><br>
Know more about DAE: https://www.brillio.com/services-data-analytics/</div><div></div><div><br>
Know what it&rsquo;s like to work and grow at Brillio: https://www.brillio.com/join-us/</div><div><b>
</b></div><div><b>
Equal Employment Opportunity Declaration</b></div><div>
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.</div><div>
</div><div>
 #LI-AY1</div><div>
</div><div>
Know what it&rsquo;s like to work and grow at Brillio: Click here</div><br>
<b>
Salary: 150,000-155,000 USD per year salary</b></div><p></p>

Data Architect – R01561308

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect &ndash; AWS</b></h2><p><b>
Experience:</b> 12+ Years<br>
<b>Location:</b> Hybrid &ndash; Lahore, Karachi, Islamabad<br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul><p>
</p><p>ntTTDK4LKn</p></div>

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