Urwah Admin

Codvo.ai

<div><div><div>Job Title: Databricks Solution Architect
Experience: 10+ years<div>
Location - Dubai</div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.<div></div> 
Senior / Expert Databricks Solutions Architect &mdash; Job Description
About the role
We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collaborate with cross-functional teams, and guide customers from concept through implementation and adoption.
What you&rsquo;ll do (Responsibilities)<ul><li>Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution.</li><li>Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics.</li><li>Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans).</li><li>Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization.</li><li>Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.</li><li>Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls).</li><li>Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI/CD for data and ML pipelines.</li><li>Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs; provide strategic guidance on platform adoption and ROI.</li><li>Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions.</li><li>Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements.</li></ul>
What you&rsquo;ll bring (Required qualifications)<ul><li>8+ years of experience in solutions/enterprise architecture or senior data engineering roles; 3+ years of hands-on experience with the Databricks platform and Spark-based architectures.</li><li>Deep expertise in Databricks components: Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, notebooks, and orchestration patterns.</li><li>Strong cloud experience (AWS, Azure, or GCP) with data storage and compute services (e.g., S3/Blob, ADLS, GCS, Redshift, BigQuery, Synapse, EMR/Databricks on cloud).</li><li>Proficiency in data integration and orchestration tools (e.g., Apache Airflow, dbt, Kafka, Spark Structured Streaming).</li><li>Advanced SQL and programming skills (Python or Scala); ability to prototype and review data pipelines, models, and analytics solutions.</li><li>Excellent communication and stakeholder management skills; ability to present complex technical concepts to both technical and non-technical audiences.</li><li>Experience delivering large-scale data lakehouse migrations/transformations, performance tuning, and cost optimization.</li><li>Databricks certification(s) or equivalent demonstrable expertise; willingness to obtain relevant certifications if not already held.</li></ul>
Preferred qualifications<ul><li>Experience with ML and MLOps on Databricks (MLflow, feature stores, model registry, CI/CD for ML).</li><li>Domain expertise in industries such as financial services, healthcare, retail, or telecommunications.</li><li>Familiarity with data governance, privacy regulations, and security frameworks (e.g., GDPR, HIPAA, SOC 2).</li><li>Familiarity with real-time data processing and streaming architectures.</li><li>Prior experience in pre-sales or solutioning for customers, including building compelling ROI stories and technical demos.</li></ul>
About you (soft skills and capabilities)<ul><li>Strategic thinker with a hands-on mindset; comfortable operating at both business and technical levels.</li><li>Strong analytical, problem-solving, and decision-making capabilities.</li><li>Collaborative team player who can lead without authority and influence stakeholders.</li><li>Comfortable working in a fast-paced, client-facing environment with travel as needed.</li><li>Submit your resume/CV and a brief cover letter outlining your Databricks projects and impact.</li><li>Include links to relevant work (e.g., public case studies, GitHub repositories, or portfolio demos) if available.</li></ul></div></div></div>

Databricks Solution Architect(UAE)

<div><div><div>Job Title: Databricks Solution Architect
Experience: 10+ years 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.<div></div> 
Senior / Expert Databricks Solutions Architect &mdash; Job Description
About the role
We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collaborate with cross-functional teams, and guide customers from concept through implementation and adoption.
What you&rsquo;ll do (Responsibilities)<ul><li>Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution.</li><li>Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics.</li><li>Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans).</li><li>Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization.</li><li>Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.</li><li>Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls).</li><li>Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI/CD for data and ML pipelines.</li><li>Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs; provide strategic guidance on platform adoption and ROI.</li><li>Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions.</li><li>Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements.</li></ul>
What you&rsquo;ll bring (Required qualifications)<ul><li>8+ years of experience in solutions/enterprise architecture or senior data engineering roles; 3+ years of hands-on experience with the Databricks platform and Spark-based architectures.</li><li>Deep expertise in Databricks components: Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, notebooks, and orchestration patterns.</li><li>Strong cloud experience (AWS, Azure, or GCP) with data storage and compute services (e.g., S3/Blob, ADLS, GCS, Redshift, BigQuery, Synapse, EMR/Databricks on cloud).</li><li>Proficiency in data integration and orchestration tools (e.g., Apache Airflow, dbt, Kafka, Spark Structured Streaming).</li><li>Advanced SQL and programming skills (Python or Scala); ability to prototype and review data pipelines, models, and analytics solutions.</li><li>Excellent communication and stakeholder management skills; ability to present complex technical concepts to both technical and non-technical audiences.</li><li>Experience delivering large-scale data lakehouse migrations/transformations, performance tuning, and cost optimization.</li><li>Databricks certification(s) or equivalent demonstrable expertise; willingness to obtain relevant certifications if not already held.</li></ul>
Preferred qualifications<ul><li>Experience with ML and MLOps on Databricks (MLflow, feature stores, model registry, CI/CD for ML).</li><li>Domain expertise in industries such as financial services, healthcare, retail, or telecommunications.</li><li>Familiarity with data governance, privacy regulations, and security frameworks (e.g., GDPR, HIPAA, SOC 2).</li><li>Familiarity with real-time data processing and streaming architectures.</li><li>Prior experience in pre-sales or solutioning for customers, including building compelling ROI stories and technical demos.</li></ul>
About you (soft skills and capabilities)<ul><li>Strategic thinker with a hands-on mindset; comfortable operating at both business and technical levels.</li><li>Strong analytical, problem-solving, and decision-making capabilities.</li><li>Collaborative team player who can lead without authority and influence stakeholders.</li><li>Comfortable working in a fast-paced, client-facing environment with travel as needed.</li><li>Submit your resume/CV and a brief cover letter outlining your Databricks projects and impact.</li><li>Include links to relevant work (e.g., public case studies, GitHub repositories, or portfolio demos) if available.</li></ul></div></div></div>

Databricks Solution Architect

<div><div><div>Job Description:
Data Engineer &ndash; MEAN stack 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Role Overview
We are looking for a highly skilled Full Stack Data Engineer with expertise in MEAN Stack to design, develop, and optimize end-to-end applications, and analytics solutions. This role combines strong cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.
Key Responsibilities<ul><li>
Design and develop applications on MEAN Stack.</li><li>
Mentor and assist team members towards common objective</li><li>
Implement CI/CD pipelines for MEAN Stack workflows using GitHub Actions, Cloud DevOps, or similar.</li><li>
Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).</li><li>
Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.</li><li>
Ensure data quality, lineage, governance, and security compliance.</li><li>
Deploy solutions across cloud environments (Azure/AWS/GCP).</li></ul>
Required Skills &amp; Qualifications
Core MEAN Stack Skills:
Strong in MEAN Stack SQL.<ul><li>
Front End (AngularJS), Backend (NodeJS, Express.JS), HTML, CSS, Bootstrap.</li><li>
Data Layer (Mongo DB/Postgres/MySQL), Cloud (Azure) Programming language - Java Script, Type Script</li><li>
Framework/design patterns - MVC/MVVM.</li></ul>
Programming &amp; Full Stack:<ul><li>
Python (mandatory), SQL (expert).</li><li>
Exposure to Java/Scala (for Spark jobs).</li><li>
Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.</li></ul>
DevOps &amp; CI/CD:<ul><li>
Git, CI/CD tools (GitHub Actions, DevOps, Jenkins).</li><li>
Containerization (Docker, Kubernetes is a plus).</li></ul>
Data Engineering Foundations:<ul><li>
Data modeling (OLTP/OLAP).</li><li>
Batch &amp; streaming data processing (Kafka, Event Hub, Kinesis).</li><li>
Data governance &amp; compliance (Unity Catalog, Lakehouse security).</li></ul>
Nice-to-Have<ul><li>
Experience with machine learning pipelines (MLflow, Feature Store).</li><li>
Knowledge of data visualization tools (Power BI, Tableau, Looker).</li><li>
Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li><li>
4&ndash;7 years of experience in data engineering, with deep expertise in MEAN Stack.</li></ul>
Soft Skills<ul><li>
Strong problem-solving and analytical skills.</li><li>
Ability to work in fusion teams (business + engineering + AI/ML).</li><li>
Clear communication and documentation abilities.</li></ul></div></div></div>

MEAN Stack Data Engineer

Join Codvo.ai and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Codvo.ai

ABOUT_COMPANY

Databricks Solution Architect(UAE)

Databricks Solution Architect

MEAN Stack Data Engineer