senior data warehouse architect

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>ntTTDK4LKn</p></div>

Astra Tech

<div>
 <p>
  <strong>
   <u>
    Role Summary
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is critically necessary to ensure the Data Team can successfully meet its core OKRs, particularly those related to
  <strong>
   Data Governance, Unified Data Warehouse (DWH) construction, and financial risk data support.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Role Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The new Senior Data Engineer will primarily be responsible for the following areas:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    DWH Architecture and Modeling:
   </strong>
   Driving the architectural design of the Financial Data Warehouse (DWH) and core dimensional modeling (e.g., user, order, repayment, and risk feature domains) to ensure high performance, stability, and scalability.
  </li>
  <li>
   <strong>
    SSOT Delivery:
   </strong>
   Taking ownership of implementing the Single Source of Truth for key business KPIs across all products.
  </li>
  <li>
   <strong>
    Data Quality Assurance:
   </strong>
   Establishing rigorous data quality checks and monitoring for critical financial fact tables and risk features, using both automated and manual processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Requirements
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We seek a candidate with the following non-negotiable experience and skills to ensure immediate, high-impact contributions:
 </p>
 <ol>
  <li>
   <strong>
    <u>
     Senior Technical Expertise:
    </u>
   </strong>
   5+ years of experience in big data platform development and maintenance, proficient in technologies like HIVE/Spark/Flink, with extensive experience in DWH Modeling, ETL design, and optimization.
  </li>
  <li>
   <strong>
    <u>
     Strong Governance Skills
    </u>
    :
   </strong>
   Proven, hands-on experience in building a data governance system from scratch, including familiarity with metadata management tools and formal data quality methodologies.
  </li>
  <li>
   <strong>
    <u>
     Financial Services Domain (Mandatory)
    </u>
    :
   </strong>
   <strong>
    Must
   </strong>
   possess deep data experience in the financial, credit, payments, or risk control sectors. They must intimately understand the core financial business processes and data models related to
   <strong>
    loan origination, repayment, delinquency, and risk feature engineering.
   </strong>
  </li>
 </ol>
 <p>
 </p>
</div>


Senior Data Warehouse Engineer

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Job Location: Mumbai, Bangalore (Offshore) (Hybrid)</div><div>
Experience : 14+ Years</div><div><br>
Job Role - Senior Lead Architect - Data</div><div>
We are looking for an experienced data personnel as a key member of our technology consulting team. You will play a vital role in designing, planning and implementing data solutions on AWS for our clients. This role requires expertise in migrating data from the Big data platform to AWS, thus enabling clients to leverage the full potential of cloud capabilities.</div><div>
Key Responsibilities:</div><ul><li><div>
Senior Lead is responsible to oversee the migration and modernization of the customer&rsquo;s platform and database services from Big data tech stack to Amazon Web Services (AWS)</div></li><li><div>
Senior Lead should provide technical guidance and mentorship to the data engineering team</div></li><li><div>
Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB</div></li><li><div>
Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices</div></li><li><div>
Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services</div></li><li><div>
Identifies and implements opportunities for optimization and performance improvements during the migration</div></li><li><div>
Ensure compliance with data security, governance, and regulatory requirements during the migration</div></li></ul><div>
Must have skills:</div><ul><li><div>
Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and Big data technologies.</div></li><li><div>
Strong understanding of cloud architecture principles and best practices</div></li><li><div>
Experience with data migration tools and strategies for AWS</div></li><li><div>
Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline.</div></li><li><div>
Exposure to Bigdata stacks like Sqoop,HDFS,Hive,Nifi</div></li><li><div>
Skills in designing data models.</div></li><li><div>
Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam.</div></li><li><div>
Knowledge of both SQL and NoSQL databases</div></li><li><div>
Proficient in scripting and automation tools using Python/pyspark, Bash, or similar languages to automate data transfer and to streamline migration processes</div></li><li><div>
Strong ability to work effectively with cross-functional teams</div></li><li><div>
Proficient in documenting migration processes and providing training/support to stakeholders</div></li><li><div>
Experience in project planning, including defining timelines, milestones, and deliverables</div></li><li><div>
Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets</div></li><li><div>
Ability to convey data requirements and migration benefits to non-technical stakeholders</div></li><li><div>
Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders</div></li><li><div>
At least 2 Professional or Specialty level AWS certification</div></li></ul><div></div><div>
Good to have skills:</div><ul><li><div>
Experience of working for customers/workloads in one of FSI,Retail,CPG domain.</div></li><li><div>
 Exposure to IaC tools like Terraform and to CI/CD tools</div></li><li><div>
Familiarity with data virtualization (e.g., Amazon QuickSight,PowerBI, Tableau) and data governance tools (e.g., Collibra).</div></li><li><div>
Managing security, monitoring, and compliance with AWS IAM, Secrets Manager, CloudWatch, CloudTrail, and KMS.</div></li><li><div>
Exposure to Data Mesh architecture,Data Governance frameworks</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Senior Technical Architect - Data

Bank of America

<div><p><b>Job Description:</b></p><p></p><p>
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br>
<br>
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br>
<br>
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br>
<br>
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!</p><p><b><br>
Job Description:</b><br>
This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines.</p><p></p><p>
RDA policy adherence tool enablement - EMP delivery of Report Inventory Management, CRF management, report lineage, Enterprise Business Glossary, governance, attestation.
</p><p></p><p><b>Responsibilities:</b></p><p></p><ul><li>
Partners with various technology teams to establish data solutions and architecture for large, complex initiatives that align with the enterprise data architecture strategy and strategic technology and platform decisions</li><li>
Develops clear and concise responses to questions from senior management and control partners regarding the enterprise data architecture strategy</li><li>
Manages multiple priorities in a matrixed environment with attention to detail and accuracy</li><li>
Communicates effectively to influence agreement between partners and escalates items, as needed, to ensure execution activities remain on track</li><li>
Ensures all relevant risk, financial, and compliance policies and standards are met</li><li>
Manages relationships with business and technology partners and creates an inclusive and healthy working environment to resolve organizational impediments and blockers</li><li>
Educates data management teams on enterprise data architectural principles, processes, and routines</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
Collibra</li><li>
Product / project management</li></ul><p></p><p><b>
Desired Qualification:</b></p><ul><li>
Collibra Level 1 and 2</li><li>
Solution Architect certifications</li></ul><p></p><p><b>
Skills:</b></p><ul><li>
Architecture</li><li>
Business Analytics</li><li>
Critical Thinking</li><li>
Data Management</li><li>
Data Visualization</li><li>
Consulting</li><li>
Data Modeling</li><li>
Process Design</li><li>
Regulatory Compliance</li><li>
Risk Management</li><li>
Cloud Solutions</li><li>
Collaboration</li><li>
Data Governance</li><li>
Talent Development</li><li>
Technical Strategy Development</li></ul><p></p><p><b>
Shift:</b></p>
1st shift (United States of America)<p></p><p><b>
Hours Per Week:</b></p>
40</div><p></p>

Sr Data Architect

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
  </li>
  <li>
   Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
  </li>
  <li>
   Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
  </li>
  <li>
   Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
  </li>
  <li>
   Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
  </li>
  <li>
   Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
  </li>
  <li>
   Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
  </li>
  <li>
   Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
  </li>
  <li>
   Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
  </li>
  <li>
   Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
  </li>
  <li>
   Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
  </li>
  <li>
   Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
  </li>
  <li>
   Familiarity with data integration and workflow management tools such as Apache Airflow
  </li>
  <li>
   Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  </li>
  <li>
   Attention to detail and a strong commitment to delivering high-quality work within established timelines.
  </li>
  <li>
   Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.
  </li>
 </ul>
</div>


Senior Data Warehouse Engineer I

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Must have Skills:</div><ul><li><div>
8+ years of experience in Data Warehouse or Data Lake build on AWS.</div></li><li><div>
Experience in working with global distributed teams</div></li><li><div>
Hands on knowledge of AWS services like S3,Step functions,Glue,Secrets Manager</div></li><li><div>
Understanding of key AWS concepts like Security, networking, Disaster Recovery, Scalability and resilience.</div></li><li><div>
Ability to build cloud based data platform architectures explaining pros/ cons of various services used.</div></li><li><div>
Coding skills in Python. Excellent SQL skills and experience in various DB engines like DB2.</div></li><li><div>
Deep Understanding of MPP Database architecture. Ability to tune queries, optimize performance.</div></li><li><div>
Ability to design resilient data pipelines using orchestration tools like Airflow / Step functions</div></li></ul><div></div><div>
Good to have skills:</div><div>
Experience of working on enterprise greenfield projects that have Application development workload as well.</div><div>
Experience of working for customers/workloads in the FSI sector domain with use cases.</div><div>
Experience in building data pipelines integrating with data virtualization tools like Denedo &amp; data governance tools like Collibra</div><div>
Exposure to SSIS</div><div>
Exposure to IaC tools like Terraform and to CI/CD tools</div><div></div><div>
Other:</div><div></div><div>
Demonstrate problem solving, communication and organizational skills, a positive attitude, and the proven ability to negotiate and influence others to obtain desired results.</div><div>
Ability to speak in business terms, as well as the ability to effectively communicate both internally and externally.</div><div>
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.</div><div>
Ability to clearly communicate technical roadmap, challenges and mitigation.</div><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Associate Technical Architect - Data

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Associate Technical Architect - Data