cloud data architect

atmaal

<div>
 
 
 Data Architect ;
 
 
 
 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.
 
 
 
 
 
 Key Responsibilities:
 
 
 <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>
 
 
 
 
 Expertise Required:
 
 
 
 
 
 <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>
 
 
</div>

Data Architect

YO IT CONSULTING

<div><h2 class="jobSectionHeader">Data Engineering Solutions Architect</h2>
Experience: 8&ndash;12 Years 
Location: Ahmedabad 
Work Mode: 5 Days Work From Office 
Office Location: Ambawadi, Ahmedabad
<h3 class="jobSectionHeader">Job Description</h3>
We are seeking 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 in designing, architecting, and delivering large-scale data warehousing, data lake, ETL/ELT, and reporting solutions across modern and traditional data platforms.
This role requires a strong balance of technical depth, solution architecture leadership, and a consulting mindset. You will work closely with clients and internal teams to define scalable, secure, and cost-effective data architectures that enable advanced analytics and AI-driven insights, while also contributing to internal best practices and capability building.
<h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>8&ndash;12 years of experience in data engineering and data architecture, with hands-on solution delivery
</li><li>Deep expertise in Snowflake or Databricks
</li><li>Strong working knowledge of dbt, Matillion, SQL, Python, and/or PySpark
</li><li>Experience designing and implementing data pipelines and orchestration frameworks using Airflow, Control-M, or similar tools
</li><li>Familiarity with cloud-native data engineering services, such as:
<ul><li>AWS Glue, Redshift, Athena
</li><li>GCP BigQuery, Dataflow, Pub/Sub
</li><li>Or equivalent services
</li></ul></li><li>Strong understanding of data modeling, ETL/ELT design, and modern architecture patterns (medallion, layered, modular)
</li><li>Experience integrating and troubleshooting APIs and real-time 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>Solid understanding of data governance, performance tuning, and Data DevOps (CI/CD, version control, monitoring)
</li><li>Excellent communication, problem-solving, and stakeholder management skills
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Relevant certifications such as:
<ul><li>Snowflake SnowPro
</li><li>Databricks Certified Architect
</li><li>AWS Data Analytics Specialty
</li><li>Google Professional Data Engineer
</li></ul></li><li>Prior consulting or client-facing experience
</li><li>Exposure to AI/ML platforms, data quality, or metadata management frameworks
</li><li>Experience designing solutions across multi-cloud or hybrid environments
</li></ul><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design and architect end-to-end data solutions using Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M, and cloud-native services on AWS / Azure / GCP
</li><li>Define and implement data ingestion, transformation, integration, and orchestration frameworks for structured and semi-structured data
</li><li>Architect data lakes and data warehouses with a focus on scalability, cost optimization, performance, and governance
</li><li>Design solutions for real-time, micro-batch, event-driven, and API-based data integration
</li><li>Lead design and delivery of data visualization and reporting solutions using Power BI, Tableau, and Streamlit
</li><li>Collaborate with business and technical stakeholders to gather requirements and define architecture blueprints aligned with business goals
</li><li>Establish and enforce engineering standards, reusable frameworks, and best practices
</li><li>Mentor data engineers and support internal capability building on modern data technologies
</li><li>Provide thought leadership on modern data platforms, data modernization, and AI/ML integration strategies</li></ul></div>

Data Engineer Solution 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>
OJhL7KfAS8</div>

Data Architect – AWS

<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>

Solution Architect - Data Engineering

<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>
Tn0IEhqF8t</div>

Cargomatic

<div>Senior Data Architect &ndash; Data Engineering

Location: San Francisco, CA 
Reports To: VP of Engineering 
FLSA Status: Exempt 
Employment Type: Full-Time 
Compensation: $140,000 &ndash; $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture &amp; Engineering
<ul>
<li>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
</li>
<li>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
</li>
<li>Define standards for data governance, reliability, performance, and cost optimization
</li>
<li>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)
</li>
</ul>AI &amp; LLM-Enabled Systems
<ul>
<li>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
</li>
<li>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
</li>
<li>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
</li>
<li>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks
</li>
</ul>Backend &amp; API Development
<ul>
<li>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
</li>
<li>Ensure observability, monitoring, and cost controls across AI and data services
</li>
<li>Contribute to microservices architecture and distributed system design
</li>
</ul>Collaboration &amp; Leadership
<ul>
<li>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
</li>
<li>Mentor junior engineers and contribute to architectural standards and best practices
</li>
<li>Drive innovation in data engineering and AI-powered logistics systems
</li>
</ul>Qualifications
<ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience
</li>
<li>8+ years of software or data engineering experience in production environments
</li>
<li>Strong expertise in data modeling, distributed systems, and scalable cloud architectures
</li>
<li>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
</li>
<li>Advanced SQL skills and deep understanding of modern storage formats
</li>
<li>Proficiency in Python and RESTful API development
</li>
<li>Experience integrating LLM APIs into production applications
</li>
<li>Strong understanding of system reliability, observability, and cost management in cloud environments
</li>
</ul>Desired Experience
<ul>
<li>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
</li>
<li>Experience designing multi-agent or agentic AI workflows with orchestration frameworks
</li>
<li>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
</li>
<li>Experience with microservices architecture and distributed system design
</li>
<li>Exposure to transportation, logistics, or supply chain domains
</li>
<li>Active GitHub contributions or demonstrated passion for emerging AI and data technologies
</li>
</ul>Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:
<ul>
<li>Medical, Dental, and Vision insurance
</li>
<li>401(k) with company match
</li>
<li>Flexible Spending Accounts (FSA)
</li>
<li>Company-paid Life and Disability insurance
</li>
<li>Flexible Paid Time Off (PTO) and company holidays
</li>
<li>Paid Parental Leave
</li>
<li>Employee Assistance Program (EAP)
</li>
<li>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
</li>
<li>Collaborative, high-impact team environment
</li>
</ul>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</div>

Data Engineer

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