data warehouse architect

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>
Tn0IEhqF8t</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>
ntTTDK4LKn</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>
OJhL7KfAS8</div>

Starlink Qatar

<div>
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a highly skilled Database Administrator to join our dynamic IT team. This role is responsible for the performance, integrity, and security of our diverse database landscape, including MS SQL, PostgreSQL, and Oracle systems. The ideal candidate will architect, design, and manage our data warehouse, developing robust ETL/ELT pipelines to support business intelligence and analytics. You will engage with business and IT stakeholders to evaluate and implement strategic architectural recommendations, particularly within our supply chain ecosystem. This position requires a proactive individual capable of working independently to perform database tuning, implement security policies, manage backup and recovery procedures, and provide critical 24x7 support. Your expertise in scripting, cloud platforms, and data modeling will be essential for supporting our growing AI and machine learning initiatives.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Expert knowledge in administering MS SQL, PostgreSQL, and Oracle PL/SQL databases (relational &amp; NoSQL).
 
 
 &rtrif; Proven experience in designing, building, and managing data warehouses.
 
 
 &rtrif; Hands-on experience building ETL/ELT pipelines for data ingestion and transformation.
 
 
 &rtrif; Proficiency in scripting with Python (Pandas, PySpark, Airflow) and Windows/UNIX shell scripting.
 
 
 &rtrif; Strong skills in database design, implementation, performance tuning, and security.
 
 
 &rtrif; Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
 
 
 &rtrif; Expertise in advanced data modeling techniques.
 
 
 &rtrif; Familiarity with big data technologies and modern architectures like data lakes and lakehouses.
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Familiarity with end-to-end supply chain and associated eco-systems.
 
 
 &rtrif; Knowledge of Java for enterprise applications.
 
 
 &rtrif; Experience preparing datasets and building models for machine learning processes.
 
 
 &rtrif; Ability to create reports or dashboards to provide actionable business insights.
 
 
 &rtrif; Understanding of APIs (REST, GraphQL) for data integration.
 
 
 Role Highlights
 
 
 📍 Location
 
 
 Doha, Qatar
 
 
 💼 Work Location Type
 
 
 Onsite
 
 
 📄 Employment Type
 
 
 Full-time
 
 
 📈 Job Level
 
 
 Mid Level
 
 
 ⌛ Experience
 
 
 5 years
 
 
 🏢 Department
 
 
 Information Technology
 
 
 🏭 Industry
 
 
 Government
 
 
 🔹 Sub-Industry
 
 
 Education Administration Programs
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🚀 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗟𝗲𝗮𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗮𝗻 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗙𝘂𝘁𝘂𝗿𝗲 &ndash; 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄! 🚀
</div>

Database Administrator

Renovision Automation Services Pvt. Ltd

Experience- 10-14 yearsLocations- Noida, Mumbai, Pune, Bangalore, Chennai, HyderabadMandatory Experience<ul><li>10&ndash;14+ years in data engineering/architecture</li><li>At least 3 years on GCP</li><li>Experience in enterprise-scale cloud transformations &amp; D&amp;A platforms</li><li>Strong analytical and problem-solving skills</li><li>Good Communication Skills </li></ul>JD-Job SummaryThe GCP Data Architect will lead the architecture, design, and implementation of scalable, secure, and high‑performance data platforms on Google Cloud Platform. The role involves driving data strategy, designing Warehouse / Lakehouse systems, guiding engineering teams and ensuring best‑practice-based architecture for enterprise Data &amp; Analytics programs.Key Responsibilities1. Architecture &amp; Solution Design<ul><li>Define end-to-end data architecture for Data Lake, DWH, ELT/ETL pipelines, and analytics workloads</li><li>Extensive experience in integration with 3rd-party platforms through APIs</li><li>Design scalable, secure, and cost-optimized solutions using GCP services:</li></ul>BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Cloud Composer, Cloud SQL<ul><li>Represent architecture discussions with business &amp; technical stakeholders</li><li>Create POCs / MVPs as required before delivering a full-fledged solution</li><li>Build high-level &amp; low-level design documentation</li></ul>2. Data Engineering Leadership<ul><li>Guide development teams on implementing data models, ingestion pipelines, and transformation layers (Bronze/Silver/Gold)</li><li>Drive best practices for BigQuery optimization, partitioning, clustering &amp; performance tuning</li><li>Oversee code reviews, standards, and quality of deliverables</li><li>Experience in cloud modernization &amp; migration projects</li><li>Partner with business teams to define KPIs, DWH models and analytics requirements</li><li>Support production pipelines, cost optimization and performance enhancements</li><li>Ensure design alignment with long-term D&amp;A roadmap</li></ul>3. Data Governance, Security &amp; Compliance<ul><li>Implement data governance frameworks, lineage, metadata management, and access controls</li><li>Apply IAM best practices and security architecture guidelines</li></ul>4. Collaboration &amp; Client Engagement<ul><li>Work closely with Data Engineers, PMs, Product Owners, Analysts &amp; Clients</li><li>Provide input for RFPs, proposals, and solution architecture decks</li></ul>Mandatory Skills / ExperienceTechnical Skills<ul><li>Strong expertise in BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud SQL, Cloud Storage, Composer</li><li>Proficiency in SQL, Python, data modeling, and distributed data processing</li><li>Hands-on experience designing data lakes, data warehouses, data marts</li><li>Understanding of real-time and batch data processing patterns</li></ul>Architectural Experience<ul><li>7&ndash;12+ years data engineering/architecture experience; at least 3 years on GCP</li><li>Experience with enterprise-scale cloud transformations &amp; D&amp;A platforms</li></ul>Soft Skills<ul><li>Strong analytical, problem-solving and communication skills</li><li>Ability to work with multi-functional teams and lead technical conversations</li></ul>Good-to-Have<ul><li>GCP Professional Cloud Architect / Data Engineer Certification</li><li>Experience with Terraform / IaC, CI/CD, and DevOps</li><li>Exposure to BI tools: Looker, Data Studio, Power BI</li></ul>Job Type: Full-timePay: From ₹1,500,000.00 per yearApplication Question(s):<ul><li>How many years of total experience do you have?</li><li>How many years of experience so you have in BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud SQL, Cloud Storage, Composer?</li><li>Have many years of experience do you have in Data Architecture &amp; Solution Design?</li><li>Are you willing to work on a 6-month contract (extendable as per project needs)?</li><li>In the last 6 months, have you applied or attended the interview in Birlasoft?</li><li>What is your notice period/ LWD?</li><li>What is your current and preferred location?</li><li>What is your current CTC?</li><li>What is your expected CTC?</li></ul>Work Location: In person

GCP Data Architect

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>

Data Architect

YO IT CONSULTING

<div><h2 class="jobSectionHeader">Title: Data Engineering Solutions Architect</h2>
Experience: 8&ndash;12 Years 
Location: Ahmedabad
This is 5 days work from office role
Office Location- Ambawadi, Ahmedabad
Required Qualifications
<ul><li>8&ndash;12 years of experience in data engineering and architecture, including hands-on solution delivery.</li>
<li>Deep expertise with Snowflake or Databricks, with strong working knowledge of tools like dbt, Matillion, SQL, and Python or PySpark.</li>
<li>Experience designing and implementing data pipelines and orchestration using tools like Airflow, Control-M, or equivalent.</li>
<li>Familiarity with cloud-native data engineering services (Such as AWS Glue, Redshift, Athena, GCP BigQuery, Dataflow, Pub/Sub, etc.) or similar.</li>
<li>Strong understanding of data modelling, ELT/ETL design, and modern architecture frameworks (medallion, layered, or modular architectures).</li>
<li>Experience integrating and troubleshooting APIs and real-time data ingestion technologies (Kafka, Kinesis, Pub/Sub, REST APIs).</li>
<li>Familiarity with traditional ETL and data integration tools (Informatica, SSIS, Oracle Data Integrator, etc.).</li>
<li>Excellent understanding of data governance, performance tuning, and DevOps for data (CI/CD, version control, monitoring).</li>
<li>Strong communication, problem-solving, and stakeholder management skills.</li>
</ul>Preferred Qualifications
<ul><li>Certifications such as:</li>
<li>Snowflake SnowPro, Databricks Certified Architect, AWS Data Analytics Specialty, or Google Professional Data Engineer.</li>
<li>Prior consulting or client-facing experience.</li>
<li>Exposure to AI/ML, data quality, or metadata management frameworks.</li>
<li>Experience leading solution design across multi-cloud or hybrid environments.</li>
</ul>Key Responsibilities
<div><ul><li>Design and architect end-to-end data solutions using technologies like Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M, and cloud-native services on AWS/Azure/GCP.</li></ul>
<ul><li>Define and implement data ingestion, transformation, integration and orchestration frameworks for structured and semi-structured data.</li></ul>
<ul><li>Architect data lakes and data warehouses with an emphasis on scalability, cost optimization, performance, and governance.</li></ul>
<ul><li>Support real-time and API-based data integration scenarios; design solutions for streaming, micro-batch, and event-driven ingestion.</li></ul>
<ul><li>Lead design and delivery of data visualization and reporting solutions using tools such as Power BI, Tableau, and Streamlit.</li></ul>
<ul><li>Collaborate with business and technical stakeholders to define requirements, design architecture blueprints, and ensure alignment with business objectives.</li></ul>
<ul><li>Establish and enforce engineering standards, frameworks, and reusable assets to improve delivery efficiency and solution quality.</li></ul>
<ul><li>Mentor data engineers and help build internal capability on emerging technologies.</li></ul>
<ul><li>Provide thought leadership around modern data platforms, AI/ML integration, and data modernization strategies.</li></ul>
</div>Job Description
We are looking for an experienced Data Engineering Solutions Architect to join our growing Data Practice. The ideal candidate will have 8&ndash;12 years of hands-on experience designing, architecting, and delivering large-scale data warehousing, data lake, ETL, and reporting solutions across modern and traditional data platforms. You will play a key role in defining scalable, secure, and cost-effective architectures that enable advanced analytics and AI-driven insights for our clients.
This role demands a balance of technical depth, solution leadership, and consulting mindset - helping customers solve complex data engineering challenges while also building internal capability and best practices within the organization.</div>

Data Engineer Solution Architect

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