data platform 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>


Data Architect

IvoryCloud

<p><b>Primary Role</b></p><p>The Enterprise Data Architect designs and implements scalable, secure, and reliable data architectures across on‑premises and cloud environments, ensuring alignment with organizational strategy. The role integrates complex data systems to support analytics, BI, and AI, while enforcing standards for modeling, governance, security, and compliance.<br/>The architect partners with executives, business leaders, and technical teams to modernize legacy platforms, drive cloud and Lakehouse adoption, and promote data‑driven decision‑making.</p><p><b>Key Responsibilities</b></p><ul><li>Lead enterprise‑level data architecture strategies ensuring scalability, reliability, performance, and cost efficiency.</li><li>Define and evolve data lake, Lakehouse, warehouse patterns to support analytics and AI.</li><li>Design and maintain conceptual, logical, physical data models with modeling standards.</li><li>Oversee integration of complex on‑prem systems to support analytics, BI, AI workloads.</li><li>Create shared standards to keep data usage consistent across domains.</li><li>Define and enforce enterprise standards for modeling, data quality, governance, security, privacy, and compliance.</li><li>Establish governance processes for ownership, lineage, metadata, access controls, retention, and regulatory compliance (e.g., PII).</li><li>Coordinate with security to implement encryption, masking, RBAC/ABAC audits.</li><li>Support responsible AI and enterprise data governance practices.</li><li>Partner with data engineers to design batch and streaming pipelines (ETL/ELT).</li><li>Define standards for ingestion, monitoring, observability, SLAs, data quality checks, alerting, and incident handling.</li><li>Introduce data observability practices to ensure reliability in enterprise datasets.</li><li>Lead large‑scale data migration and modernization initiatives, including cloud adoption and legacy decommissioning.</li><li>Drive adoption of modern data platforms and emerging technologies (Lakehouse, streaming, cataloging, governance tools).</li><li>Optimize data storage, retrieval, and lifecycle management for performance, resilience, and cost.</li><li>Partner with platform/DevOps teams to support CI/CD for data workloads.</li><li>Ensure AI‑ready data: curated, documented, high‑quality datasets and features for BI, data science, and AI search.</li><li>Support semantic modeling and reusable data products for enterprise analytics.</li><li>Provide technical leadership to engineers, analysts, and project teams on modeling and architecture patterns.</li><li>Collaborate with executives and business stakeholders to align architecture with organizational strategies.</li><li>Communicate complex technical concepts in clear, business‑focused language.</li><li>Evaluate and recommend data platform technologies, tools, and patterns based on business needs.</li></ul><p><b>Skills and Competencies</b></p><ul><li>Expert in data architecture and engineering across hybrid and cloud environments.</li><li>Strong knowledge of data lakes, warehouses, Lakehouse designs, and streaming systems.</li><li>Strong data modeling skills (relational, dimensional, analytics models).</li><li>Strong SQL and advanced programming experience in Python or C#.</li><li>Hands‑on experience with big data/distributed platforms and cloud warehouses (Fabric, Databricks, Snowflake, Redshift).</li><li>Experience with ETL/ELT, streaming ingestion, APIs, and messaging patterns.</li><li>Strong knowledge of governance, privacy, security, compliance, and data quality.</li><li>Familiarity with data catalogs, metadata management, and lineage tools.</li><li>Proven ability to lead modernization and cloud migration projects.</li><li>Ability to influence cross‑functional teams and manage stakeholders.</li><li>Ability to present architectural options to technical and non‑technical audiences.</li><li>Experience defining and measuring SLAs, SLOs, and data quality KPIs.</li><li>Experience with CI/CD for data workloads and infrastructure‑as‑code.</li><li>Experience with data observability platforms or practices.</li></ul><p><b>Experience and Education</b></p><ul><li>7+ years in data roles (e.g., DBA, Database Developer, Data Engineer, Data Architect) with at least 3 years in enterprise data architecture or platform design.</li><li>Bachelor&rsquo;s degree in computer science, Data Science, Information Systems, or related degrees.</li><li>Relevant certifications (e.g., Azure/AWS data or architecture certifications) are highly valued.</li></ul><p>Job Type: Full-time</p><p>Pay: $125,000.00 - $140,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul><p>Application Question(s):</p><ul><li>Are you able to come into an office for in-person interviews?</li><li>Are you able to come into the office in Rockville, MD 2 times per week?</li><li>This position requires US Citizenship. Are you a US Citizen?</li></ul><p>Work Location: In person</p>

Enterprise Data Architect

cFocus Software Incorporated

<div>cFocus Software seeks a System Architect III to join our program supporting the Executive Office of the President (EOP). This position is remote. This position requires a TS/SCI clearance.<br>
<b>Qualifications:</b><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related technical field.</li><li>
Minimum of 4 years of experience in system architecture, enterprise engineering, or data platform design.</li><li>
Demonstrated experience architecting large-scale data validation, audit, or analytics platforms.</li><li>
Strong experience with ETL pipelines, data comparison frameworks, and automated validation processes.</li><li>
Experience designing systems with strong logging, auditing, and reporting requirements.</li><li>
Knowledge of object-based storage platforms and enterprise content management systems.</li><li>
Experience supporting federal or intelligence community IT environments.</li><li>
Strong documentation, communication, and technical leadership skills.</li></ul><b>
Duties:</b><ul><li>
Lead system architecture design for automated audit, validation, and verification solutions across multiple data sources.</li><li>
Design end-to-end architectures supporting extraction, transformation, loading (ETL), validation, and reporting pipelines.</li><li>
Architect high-availability and fault-tolerant solutions leveraging existing Hitachi Content Platform (HCP) and Hitachi Content Intelligence (HCI) infrastructures.</li><li>
Define technical architectures for automated comparison of records, metadata, permissions, and attributes across source systems and OBS.</li><li>
Ensure architectures support compliance with the Presidential Records Act (PRA) and Federal Records Act (FRA).</li><li>
Design centralized logging, audit trails, and machine-readable discrepancy reporting capabilities.</li><li>
Architect executive dashboards providing KPIs, drill-down analytics, and role-based access control.</li><li>
Ensure integration with Active Directory and identity management services for secure access control.</li><li>
Support Agile development processes and provide technical direction across sprint cycles.</li><li>
Review and approve system designs, code artifacts, and implementation plans.</li><li>
Ensure compliance with EOP, PITC, and federal cybersecurity requirements.</li><li>
Support Authority to Operate (ATO), continuous monitoring, and audit readiness activities.</li><li>
Develop and maintain system architecture diagrams, interface control documents, and technical standards.</li><li>
Provide technical guidance for remediation of audit discrepancies and system anomalies.</li><li>
Support surge activities including Presidential Transition requirements when directed.</li></ul><p>
</p><p>b98skKqpb9</p></div>

EOP - System Architect III - TS/SCI Required

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

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

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div><div><div><div>Key Responsibilities:<br>
<br>
Define and own the end-to-end architecture of data platforms built on Snowflake, including ingestion, transformation, storage, and consumption layers.<br>
<br>
Design and implement data lakehouse architectures using Snowflake&rsquo;s native features such as Streams, Tasks, Materialized Views, and External Tables.<br>
<br>
Establish best practices for data governance, security, and access control using Role-Based Access Control (RBAC), Secure Views, and Row-Level Security.<br>
<br>
Architect scalable ETL/ELT pipelines using Snowflake, DBT, and Python, integrating with orchestration tools like Airflow etx.<br>
<br>
Lead integration of Snowflake with enterprise systems such as data catalogs, data quality frameworks, monitoring tools, and BI platforms.<br>
<br>
Working knowledge of AI integrations with Snowflake, including Snowflake Cortex and LLM-powered analytics, with experience in enabling intelligent data applications.<br>
<br>
Guide teams in implementing CI/CD pipelines for Snowflake deployments using tools like GitHub Actions, Azure DevOps, or GitLab CI.<br>
<br>
Monitor and optimize Snowflake performance using Query Profile, Resource Monitors, Clustering Keys, and Auto-Suspend/Resume features.<br>
<br>
Collaborate with data analysts, engineers, and business stakeholders to ensure platform reliability and data accessibility.<br>
<br>
Conduct architectural reviews, code audits, and mentoring sessions to ensure adherence to standards and scalability.<br>
<br>
Stay current with Snowflake innovations and advocate for adoption of new features and capabilities.</div>
</div><br>
</div></div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>395645</div>
</div><div><div><b>Desired Skills</b></div>
<div>SNOW</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Snowflake developer

Confiz

<div>
 We seek an experienced Big Data expert to lead our Big Data platform's design, development, and maintenance. Collaborating with data engineers and Big Data Business Analysts across various platform layers, you'll demonstrate a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Facilitate and lead the roadmap and enhancements for the enterprise Big Data platform.
  </li>
  <li>
   Lead Data Engineers, Business Analysts, and BI engineers to architect and deliver the solutions that fulfill the Business information needs.
  </li>
  <li>
   Ensure the design, code, and procedural aspects of the solution are production-ready, in terms of operational, security, and compliance standards.
  </li>
  <li>
   Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.
  </li>
  <li>
   Yearning for continuous learning and training/mentoring future big data developers and architects.
  </li>
  <li>
   Design and implement scalable, near real-time data ingestion pipelines to enable low-latency data processing and analytics.
  </li>
  <li>
   Architect and optimize data streaming solutions to handle high-throughput, distributed systems while ensuring data consistency, reliability, and fault tolerance in near real-time workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions in recent years.
  </li>
  <li>
   Experience in leading a team of Data Engineers and BI Developers.
  </li>
  <li>
   Bachelor&rsquo;s degree in computer science or relevant field from an accredited college or university; Master&rsquo;s degree from an accredited college or university preferred.
  </li>
  <li>
   Strong technical experience in the following:
  </li>
  <li>
   Big data stack and solutions, including cloud technologies.
  </li>
  <ul>
   <li>
    Data lake architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL).
   </li>
   <li>
    Enterprise Application and Data Integration design and implementation (e.g. ETL, messaging, replication, and APIs).
   </li>
   <li>
    Telco Domain Experience
   </li>
   <li>
    Azure Solutions Architect Certification
   </li>
   <li>
    Azure Data Lake, Azure Data Factory, Databricks, Azure SQL, Apache NiFi, Azure Synapse, Power BI
   </li>
  </ul>
  <li>
   Awareness of Data management best practices (e.g. data quality, metadata management, data lineage).
  </li>
  <li>
   Awareness of Machine Learning techniques is nice to have
  </li>
  <li>
   Willingness to travel to UK (25% travelling might be required)
   <br/>
  </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 <br/>
 <br/>
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 <strong>
  ISO 9001:2015
 </strong>
 (QMS),
 <strong>
  ISO 27001:2022
 </strong>
 (ISMS),
 <strong>
  ISO 20000-1:2018
 </strong>
 (ITSM),
 <strong>
  ISO 14001:2015
 </strong>
 (EMS),
 <strong>
  ISO 45001:2018
 </strong>
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 <br/>
 <br/>
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 <br/>
 <br/>
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>


Big Data Architect

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