enterprise data architect

Datamatics Technologies

<div>
 
 Job Title: Enterprise Data Architect
 
 
 
 Location:
 
 &nbsp;Islamabad (Onsite)
 
 
 Experience:
 
 10+ Years
 
 
 Employment Type:
 
 Full-Time
 
 
 Job Summary
 
 
 We are seeking a highly skilled and experienced
 
 Enterprise Data Architect
 
 with strong expertise in designing and implementing large-scale enterprise solutions. The ideal candidate must&nbsp;possess a minimum of 10 years of experience in enterprise and data architecture. This role involves defining data strategies, developing architecture blueprints, and ensuring alignment between IT initiatives and organizational business goals. The individual will also be responsible for optimizing data assets, establishing governance frameworks, and supporting presales activities.
 
 
 
 Key Responsibilities
 
 
 Enterprise &amp; Solution Architecture
 
 <ul>
 <li>
 
 Develop, maintain, and communicate comprehensive enterprise architecture models aligned with business objectives, IT strategy, and industry best practices.
 
 </li>
 <li>
 
 Engage with business and technology stakeholders to understand requirements and design scalable, future-ready architectural solutions.
 
 </li>
 <li>
 
 Lead the creation of data architecture blueprints, roadmaps, and implementation plans for enterprise-wide initiatives.
 
 </li>
 <li>
 
 Conduct architecture assessments to identify gaps, risks, and improvement opportunities and propose actionable recommendations.
 
 </li>
 </ul>
 
 Data Architecture &amp; Data Management
 
 <ul>
 <li>
 
 Design, implement, and maintain conceptual, logical, and physical data models supporting business and analytical needs.
 
 </li>
 <li>
 
 Define data standards, naming conventions, classification policies, and metadata frameworks to ensure data integrity and consistency.
 
 </li>
 <li>
 
 Develop end-to-end data integration strategies across diverse systems and platforms.
 
 </li>
 <li>
 
 Establish and enforce data governance frameworks to support data quality, security, compliance, and lifecycle management.
 
 </li>
 <li>
 
 Implement data profiling, cleansing, cataloging, and metadata processes to uphold data accuracy and reliability.
 
 </li>
 </ul>
 
 Database Systems &amp; Optimization
 
 <ul>
 <li>
 
 Evaluate and select appropriate database and storage technologies based on scalability, performance, and cost considerations.
 
 </li>
 <li>
 
 Design and optimize database schemas, indexes, and queries for efficient data storage, access, and performance.
 
 </li>
 <li>
 
 Provide leadership and oversight in database architecture decisions across the enterprise.
 
 </li>
 </ul>
 
 Leadership &amp; Cross-Functional Collaboration
 
 <ul>
 <li>
 
 Provide technical leadership, mentoring, and guidance to cross-functional teams, ensuring adherence to architectural standards.
 
 </li>
 <li>
 
 Support presales activities including proposals, RFPs, SOW creation, and collateral development.
 
 </li>
 <li>
 
 Foster a culture of continuous improvement and knowledge sharing across technical and non-technical teams.
 
 </li>
 <li>
 
 Stay updated on emerging technologies, trends, and best practices to continuously enhance the enterprise architecture landscape.
 
 
 </li>
 </ul>
 
 Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 </li>
 <li>
 
 Minimum of
 
 10 years&rsquo; experience
 
 designing and implementing enterprise and data architecture solutions in complex, large-scale environments.
 
 </li>
 <li>
 
 Strong expertise with architecture modeling tools (e.g., ArchiMate, TOGAF Architect) and enterprise architecture platforms.
 
 </li>
 <li>
 
 Proficiency in data modeling tools such as
 
 ERwin, ER/Studio
 
 , and strong knowledge of database systems (Oracle, SQL Server, MySQL, etc.).
 
 </li>
 <li>
 
 Experience with
 
 data warehousing, data lakes, big data platforms
 
 , and modern data architectures.
 
 </li>
 <li>
 
 Familiarity with
 
 cloud data platforms
 
 (AWS, Azure, GCP) and DevOps methodologies.
 
 </li>
 <li>
 
 Excellent analytical, problem-solving, and decision-making abilities.
 
 </li>
 <li>
 
 Strong communication and interpersonal skills, with the ability to engage stakeholders across all levels of the organization.
 
 </li>
 </ul>
</div>

Enterprise Data Architect

IvoryCloud

Primary RoleThe 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. 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.Key Responsibilities<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>Skills and Competencies<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>Experience and Education<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>Job Type: Full-timePay: $125,000.00 - $140,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul>Application Question(s):<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>Work Location: In person

NorthBay Solutions

<div><h2 class="jobSectionHeader">Job Title: Data Architect &ndash; AWS</h2>
Experience: 12+ Years 
Location: Hybrid &ndash; Lahore, Karachi, Islamabad 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Position Overview</h2>
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.<h2 class="jobSectionHeader">
Key Responsibilities</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><h2 class="jobSectionHeader">
Required Skills &amp; Experience</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><h2 class="jobSectionHeader">
Nice to Have</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>
OJhL7KfAS8</div>

Data Architect – AWS

<div><h2 class="jobSectionHeader">Job Title: Data Architect &ndash; AWS</h2>
Experience: 12+ Years 
Location: Hybrid &ndash; Lahore, Karachi, Islamabad 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Position Overview</h2>
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.<h2 class="jobSectionHeader">
Key Responsibilities</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><h2 class="jobSectionHeader">
Required Skills &amp; Experience</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><h2 class="jobSectionHeader">
Nice to Have</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>
Tn0IEhqF8t</div>

<div><h2 class="jobSectionHeader">Job Title: Data Architect &ndash; AWS</h2>
Experience: 12+ Years 
Location: Hybrid &ndash; Lahore, Karachi, Islamabad 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Position Overview</h2>
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.<h2 class="jobSectionHeader">
Key Responsibilities</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><h2 class="jobSectionHeader">
Required Skills &amp; Experience</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><h2 class="jobSectionHeader">
Nice to Have</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>
ntTTDK4LKn</div>

Brillio LLC

<div><h1 class="jobSectionHeader">Data Architect - R01558863</h1>
<div>Data Architect</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Data Warehousing
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
Cloud Data Architecture: Associate Data Engineer
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
What You&rsquo;ll be Doing: &bull; Assessment and discovery to define enterprise architecture strategy roadmap &bull; Lead and design best-in-class, conceptual data models leading to implementable solution designs across technical ecosystem &bull; Guide planning of data movement and integration patterns across our ecosystem, defining integration standards, reference architectures and tool utilization &bull; Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data &bull; Support master data solution architectures, system landscapes, governance workflows, and systems integration and implementation &bull; Collaborating with business stakeholders and technical teams to understand data management requirements, data quality remediation and challenges, and identify opportunities for the design of a best of breed solution &bull; Produce relevant solution design artifacts including but not limited to technical estimates, conceptual system designs, sequence diagrams, and data models &bull; Act as an advisor for new and emerging technologies, patterns, and trends What You&rsquo;ll Bring to the Role: Required: &bull; 13+ years of data architecture or integration architecture experience &bull; Experience creating ETL and reverse-ETL patterns and services to handle data from various data sources, formats, and use cases &bull; Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL &bull; Experience with streaming, batch and micro-batch data processing and workflows &bull; Experience leading enterprise assesment, Data quality roadmaps, and implementation &bull; Hands on experience in advanced SQL, Python, Spark and Azure Technologies &bull; Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners of what direction should be taken &bull; Should be Master communicator and able to lead team and solutionist problems</li></ul></div>

Data Architect – R01558863

Relevantz Technology Services

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

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Data Architect – R01558863

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