lead data architect

Confiz

<div><p>We are seeking a <b>Technical Project Lead / Data Architect</b> with deep technical expertise in <b>data architecture</b> and <b>machine learning project delivery</b>. The ideal candidate will have strong hands-on experience across the <b>Oracle technology stack</b> (Oracle BI, Oracle Database, Oracle Data Integrator), along with proficiency in <b>Python, Spark, and MS SQL Server</b>.</p>
<p>This role requires the ability to <b>design and implement complex data architectures</b>, ensure <b>governance and quality standards</b>, and <b>lead cross-functional teams</b> to deliver scalable, secure, and high-performing data analytics and ML solutions. The candidate should also bring strong <b>project management and leadership skills</b> to drive successful execution from design through deployment.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Architect and design scalable, secure, and high-performance data and ML solutions leveraging Oracle and modern data technologies.</li>
<li>Translate business requirements into technical architectures, data models, and analytics frameworks.</li>
<li>Lead end-to-end delivery of data solutions &mdash; including data ingestion, transformation, modeling, analytics, and reporting.</li>
<li>Define and enforce data design principles, standards, and best practices across all data initiatives.</li>
<li>Manage project scope, timelines, risks, and dependencies to ensure successful and timely delivery.</li>
<li>Oversee and optimize data pipelines and ETL/ELT processes using Spark, Python, ODI, and SQL-based platforms.</li>
<li>Implement and maintain data governance and quality frameworks across enterprise data assets.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders to align solutions with business objectives.</li>
<li>Provide technical leadership and mentorship, guiding teams on architecture, design, and implementation best practices.</li>
<li>Continuously evaluate new tools, technologies, and methodologies to improve architecture scalability and performance.</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Bachelor&rsquo;s or equivalent degree in Computer Science, Information Technology, or a related field.</li>
<li><b>8+ years</b> of experience in data architecture, engineering, and ML project delivery.</li>
<li>Proven expertise in Oracle technologies &mdash; including Oracle BI, Oracle Database, and Oracle Data Integrator (ODI).</li>
<li>Strong proficiency in Python, Spark, SQL, and ETL frameworks.</li>
<li>Experience designing scalable, secure, and high-performing data platforms in on-premises environments.</li>
<li>In-depth understanding of data modeling, warehousing, integration, and real-time data processing.</li>
<li>Strong grasp of data governance and quality management principles.</li>
<li>Demonstrated experience in project management and stakeholder engagement, with a track record of delivering complex data projects.</li>
<li>Excellent problem-solving and troubleshooting abilities for complex data architectures.</li>
<li>Exceptional communication and leadership skills, with the ability to present technical concepts to non-technical stakeholders.</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

Technical Project Lead / Data Architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Techmango Technology Services

<div><div><div><div><div><b>Job Location: </b>Remote
</div><div><b>Job Experience: </b>8-20 Years
</div><div><b>Model of Work: </b>Remote
</div><div><b>Technologies: </b>AWS Redshift Snowflake
</div><div><b>Functional Area: </b>Software Development
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Summary:</b></h2>
</div><div><ul><li><b>Job Title: Lead AWS Data Engineer - Redshift &amp; Snowflake
</b><br>
<b>Location: Madurai - Remote</b><br>
<b>Experience: 8+ Years
</b><br>
<b>Employment Type: Full-time</b>
<br>
<br>
<b>About the Role</b> We are looking for a skilled Lead AWS Data Engineer with hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutions. The ideal candidate should have strong technical knowledge in AWS services, data integration, and real-time/batch data processing.
</li></ul></div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:
</b></h2></div><div><ul><li>We&rsquo;re looking for a seasoned Lead AWS Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You&rsquo;ll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake&mdash;ensuring data is reliable, accessible, and optimized for scale. If you thrive on solving complex problems, love optimizing systems for performance, and want to be the go-to expert in a collaborative, high-impact environment, we&rsquo;d love to meet you.
<br>
<br>
<b>What You Will Do:</b>
<ul><li>Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and Snowflake
</li><li>Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets
</li><li>Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers
</li><li>Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments
</li></ul> Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies
<ul><li>Implement and manage database change workflows using schema migration/versioning tools
</li><li>Define and promote best practices for data access, security, compliance, and observability
</li></ul><br>
<b>What You Will Bring:
</b><ul><li>8+ years of experience in database engineering or backend systems development
</li><li>Deep expertise with MySQL, Amazon Redshift, and Snowflake, including schema design and performance optimization
</li><li>Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
</li><li>Proven track record maintaining data freshness SLAs and data quality across production pipelines
</li><li>Hands-on experience with T-SQL, LinkSQL, query optimization, and indexing strategies
</li><li>Experience with query optimization, mapping tables to blocks and partitions, sub-table structure and keying/indexing for efficiency
</li><li>Experience of relational data modeling and schema versioning in support of software development.
</li><li>Experience as the sole or lead database expert on a development team.
</li><li>Familiarity with source control systems (e.g., Git/Bitbucket) and CI/CD integration.
</li><li>Strong problem solving skills are desirable.
</li><li>Transforming product requirements into workable solutions, in collaboration with several development and testing teams.
</li><li>Writing robust functions, procedures and scripts using SQL.
</li><li>Being heavily involved in the day to day running of the business dealing with support and performance issues.
</li><li>Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
</li><li>Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
</li><li>Utilize a proactive approach to foresee potential problems and address them before they impact operations.
</li></ul></li></ul></div><div><h2 class="jobSectionHeader"><b>About our Talent Acquisition Team:
</b></h2></div><div><ul><li>Arumugam Veera leads the Talent Acquisition function for <b>TechMango</b>, driving our mission to build high-performing teams and connect top talent with exciting career opportunities.
 <br>
<br>
Feel free to connect with him on <b>LinkedIn</b>: https://www.linkedin.com/in/arumugamv/
 <br>
Follow our official <b>TechMango LinkedIn page </b>for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/
<br>
<br>
Looking forward to connecting and helping you explore your next great opportunity with us!</li></ul></div></div></div></div></div></div><div></div>

Lead AWS Data Engineer

Teachmint

<div><div><b>Job Title:</b> Head of AI/ML Architecture</div><div><b>
Location:</b> Bangalore[Onsite]</div><div></div><div><b><br>
About Us:</b></div><div></div><div><br>
At Teachmint, we believe that education moves the world forward and deserves the best technology in this pursuit. We are a global classroom technology company empowering educators and institutions in over 50 countries. At the forefront of classroom innovation, Teachmint is transforming how education is delivered through its proprietary solutions&mdash;Teachmint X, an AI-powered digital board; EduAI, an intelligent AI companion that empowers educators and learners to become self-reliant; and our interactive whiteboard technology, designed to blend intelligence with usability and elevate every moment of classroom interaction.</div><div></div><div><br>
We are redefining education infrastructure. Whether you're architecting backend systems, designing intuitive front-end experiences, improving deployment pipelines, driving business growth and brand visibility, or scaling user impact&mdash;your work here directly shapes the future of education.</div><div></div><div><br>
If you&rsquo;re excited by the idea of building smart, scalable, and meaningful solutions in education, come create with us. Learn more: http://teachmint.com</div><div></div><div><b><br>
About Role:</b></div><div>
As the Head of AI/ML Architecture, you will own the strategy and vision of the organization&rsquo;s AI ecosystem. You&rsquo;ll lead cross-functional teams and drive the adoption of cutting-edge paradigms like Generative AI and transformers, and build platforms that power innovation, personalization, and intelligence across products.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div><b>
AI/ML Architecture &amp; Strategy</b></div><ul><li>
Define the long-term AI/ML architecture strategy, frameworks, and standards aligned with business objectives.</li><li>
Architect end-to-end ML systems&mdash;from data ingestion and feature engineering to model training, deployment, and monitoring.</li><li>
Lead the adoption of modern AI paradigms, including Generative AI, LLMs, and multimodal learning.</li><li>
Drive architectural excellence for high availability, low latency, and scalability of AI workloads.</li></ul><div></div><div><b><br>
Platform &amp; Infrastructure Leadership</b></div><ul><li>
Design and oversee the AI/ML infrastructure on cloud platforms (AWS, Azure, GCP) including MLOps pipelines, model registries, and monitoring frameworks.</li><li>
Partner with engineering teams to ensure seamless integration of ML models into production systems.</li><li>
Establish governance frameworks for data quality, model reproducibility, and lifecycle management.</li></ul><div></div><div><b><br>
Innovation &amp; Applied AI</b></div><ul><li>
Collaborate with product and research teams to explore emerging AI technologies and evaluate their applicability in solving business problems.</li><li>
Build reusable AI components, APIs, and services that accelerate innovation across business verticals.</li><li>
Lead the development of generative AI and advanced analytics capabilities that power personalization, automation, and predictive insights.</li></ul><div></div><div><b><br>
Team Leadership &amp; Collaboration</b></div><ul><li>
Build and mentor a world-class team of AI architects, ML engineers, and data scientists.</li><li>
Foster a culture of engineering excellence, continuous learning, and experimentation.</li><li>
Partner with business, product, and data leaders to translate strategic needs into scalable AI solutions.</li><li>
Implement robust monitoring for model drift, bias detection, and performance degradation.</li></ul><div></div><div><b><br>
Key Requirements</b></div><ul><li>
8-12+ years of experience in technology roles with at least 4+ years in leading AI/ML architecture or platform engineering teams.</li><li>
Deep expertise in ML algorithms, distributed computing, data pipelines, and model deployment architectures.</li><li>
Proven experience architecting AI systems at scale using modern MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI, etc.).</li><li>
Should be able to demonstrate adoption of AI paradigms, with a solid grasp of machine translation techniques and transformer-based AI models.</li><li>
Strong command of data engineering technologies (Spark, Kafka, Airflow, Snowflake, etc.).</li><li>
Proficiency in programming languages like Python, Java, or Scala.</li><li>
Strong understanding of LLMs, vector databases, retrieval-augmented generation (RAG), and prompt optimization frameworks.</li><li>
Excellent stakeholder management, leadership, and communication skills.</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Prior experience building AI architecture in SaaS/platform / enterprise-scale environments.</li><li>
Exposure to edge AI, reinforcement learning, or autonomous systems.</li><li>
Degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><div></div><div><b><br>
Why Join Us</b></div><ul><li>
Shape the AI architecture vision of a forward-thinking, technology-first organization.</li><li>
Lead mission-critical AI initiatives that drive real-world impact.</li><li>
Collaborate with exceptional teams at the forefront of AI transformation.</li></ul></div><div></div>

Head of AI/ML Architecture

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

ProClink

<div><div><b>Core Responsibilities:</b></div><div>
Define and own the overall data architecture strategy.</div><div>
Design scalable, secure, and high-performance data platforms and integration frameworks.</div><div>
Partner with engineering and business teams to align architectural decisions with strategic goals.</div><div>
Evaluate and recommend modern technologies, frameworks, and patterns for data processing and analytics.</div><div>
Ensure adherence to architectural standards, data governance, and security compliance.</div><div>
Lead solution design reviews and guide implementation of complex data systems across multi-cloud environments.</div><div>
Drive innovation in data architecture to enable advanced analytics, AI, and ML use cases.</div><div></div><div><b><br>
Qualifications:</b></div><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</div><div>
12+ years of experience in data engineering and architecture roles.</div><div>
Deep expertise in designing data platforms on Azure, AWS, or GCP.</div><div>
Strong knowledge of data modeling, metadata management, and distributed data processing frameworks.</div><div>
Hands-on experience with warehouse, DataLake, DeltaLake, and Lakehouse data architectures.</div><div>
Ability to design and implement data ingestion from streaming and APIs</div><div>
Proven experience implementing CI/CD, infrastructure-as-code, and cloud security best practices.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
Professional level cloud certification (AWS, Azure, or GCP).</div><div>
Experience designing enterprise data mesh or data fabric architectures.</div><div>
Familiarity with data governance, lineage, and observability tools.</div><div>
Strong collaboration skills and ability to influence data-driven decisions across teams.</div></div><div></div>

Principal Data Architect - Data Engineering

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.</p><p>
As a Lead Data Engineer at JPMorgan Chase within the Consumer &amp; Community Banking, you play a crucial role in an agile team dedicated to improving, developing, and providing data collection, storage, access, and analytics solutions that are secure, stable, and scalable.</p><p><b>
Job responsibilities</b></p><ul><li>
Design and implement &lsquo;data models&rsquo; to support business requirements and analytics.</li><li>
Develop and maintain MLOps pipelines for automating the deployment and monitoring of machine learning models.</li><li>
Collaborate with data architects, data scientists, data engineers, and product owner to understand data needs and translate them into data models.</li><li>
Ensure data models and machine learning models are optimized for performance and scalability.</li><li>
Conduct data analysis and profiling to understand data quality and integrity.</li><li>
Develop and maintain CI/CD pipelines for machine learning projects.</li><li>
Document data models, metadata, and machine learning processes for reference and compliance purposes.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li><div>
Formal training or certification on software engineering concepts and 5+ years applied experience</div></li><li>
Hands on experience in Data Modeling and MLOps</li><li>
Strong idea on Data warehousing, Data lakes and their Architecture patterns</li><li>
Proficiency in data modeling tools such as ER/Studio, ERwin, or similar.</li><li>
Experience in deploying and managing machine learning models in production.</li><li>
Proficiency in programming languages such as Python, R, or Java.</li><li>
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Strong understanding of DevOps practices and tools.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul><div>
</div><b>ABOUT US</b></div>

Lead Data Engineer

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