data integration architect

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader">Location: Riyadh, KSA 
Duration: 6 Months (Extendable) 
Work Mode: Onsite 
Experience: 8+ Years 
 
Job Summary: 
 
We are seeking a highly skilled Informatica Solution Architect to design and implement enterprise-level data integration and management solutions. The ideal candidate will have a strong background in Informatica architecture, data governance, and end-to-end solution design aligned with business goals. 
 
Key Responsibilities:</h3><ul><li>
Lead the design and architecture of Informatica-based data integration solutions.</li><li>
Define best practices for data flow, ETL design, and metadata management.</li><li>
Work closely with business and technical teams to translate requirements into scalable solutions.</li><li>
Oversee data modeling, mapping, and performance optimization activities.</li><li>
Provide guidance on system design, configuration, and deployment.</li><li>
Ensure compliance with organizational data governance and security policies.</li><li>
Support implementation teams with troubleshooting and solution validation.</li></ul><h3 class="jobSectionHeader">
Qualifications:</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>
8+ years of experience in Informatica solutions, including PowerCenter, IDMC, or Cloud Data Integration.</li><li>
Proven expertise in architecture design, ETL development, and system integration.</li><li>
Strong understanding of data warehousing and data governance principles.</li><li>
Excellent communication and leadership skills.</li><li>
Informatica or data architecture certification preferred.</li></ul>
cFiOjzEXuI</div>

Informatica Solution Architect

Domnic Lewis Pvt. Ltd

<div>Purpose of the Role The Azure Data &amp; Integration Architect will lead enterprise-wide data and integration initiatives, leveraging Microsoft Azure and Databricks to drive digital transformation, operational efficiency, and data-driven decision-making. This role focuses on architecting scalable data pipelines, designing a unified lakehouse platform, enabling advanced analytics, and integrating enterprise systems across SAP and non-SAP landscapes.
Key Responsibilities Data Architecture &amp; Analytics Architect and implement scalable ELT/ETL pipelines using Azure Data Factory (ADF). Develop and optimize data processing and analytics workflows in Azure Databricks using PySpark and Delta Lake. Implement Delta Live Tables, Unity Catalog, and Azure Purview for governance, data lineage, and access control. Design and deploy enterprise data models and analytical layers using Azure Synapse Analytics. Enable enterprise reporting and self-service analytics through Power BI integration. Manage both structured and unstructured data using Azure Blob Storage and Azure Data Lake Storage Gen2. Collaborate with data scientists and business teams to enable machine learning and predictive analytics use cases. Define and enforce data architecture standards, naming conventions, and performance best practices. Integration &amp; Enterprise Connectivity Design and implement integrations between SAP and non-SAP systems using SAP CPI, Azure API Management, and REST/SOAP APIs. Ensure secure and scalable data flow across on-premises, cloud, and hybrid environments. Implement API authentication and security protocols (OAuth 2.0, JWT, SAML). Integrate enterprise applications with Azure Entra ID for identity and access management. Establish reusable integration patterns and frameworks for enterprise-wide adoption. Governance, Security &amp; Compliance Ensure data quality, lineage, and governance across the analytics ecosystem. Implement security and compliance controls aligned with GxP, 21 CFR Part 11, and corporate IT policies. Monitor cost and performance optimization across Azure services. Oversee DevOps and CI/CD pipelines for automated deployment and testing using Azure DevOps. Leadership &amp; Collaboration Collaborate closely with cross-functional IT, data, and business teams. Conduct technical design reviews, mentor developers, and ensure adherence to architectural standards. Support vendor evaluations, solution assessments, and proof-of-concept initiatives. Communicate complex technical concepts effectively to senior management and business stakeholders. Education &amp; Qualifications Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field. MBA is a plus. Mandatory Requirements Minimum 10+ years of experience in data analytics, engineering, and enterprise integration. Proven experience architecting enterprise-scale data platforms on Azure. Strong hands-on expertise in Azure Databricks (PySpark, Delta Lake, Unity Catalog). Proficiency in Azure Data Factory, Azure Synapse Analytics, Power BI, Blob Storage, and Data Lake Gen2. Experience integrating SAP systems (S/4HANA, SuccessFactors, MES, LIMS, CRM) with Azure and other platforms. Proficient in integration technologies (SAP CPI, Azure API Management, middleware platforms). Deep understanding of data security and identity protocols (OAuth, JWT, SAML) and Azure Entra ID. Familiarity with GxP-compliant data handling and governance practices. Desirable Requirements Experience in pharmaceutical manufacturing and regulatory environments. Exposure to Azure DevOps, Terraform, or ARM templates for infrastructure automation. Knowledge of modern data architecture principles (Lakehouse, Data Mesh, ELT). Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Data Engineer Associate Microsoft Certified: Identity and Access Administrator Associate SAP Certified Technology Associate - SAP Integration Suite TOGAF or equivalent Enterprise Architecture certification Preferred Industry Experience Pharmaceutical Manufacturing
Regulated Environments (GxP, FDA, ISO)
Experience Minimum 10 years in data architecture, analytics, and enterprise integration roles.</div>

Automation/Integration Architect

Nvizion Solution

Role OverviewWe are seeking a Denodo Architect to design and implement the data virtualization and semantic access layer as part of our on-premise Data Lakehouse (DLH) program. The architect will play a critical role in integrating Denodo with Cloudera (HDFS, Spark, Kafka), Teradata, Informatica, and multiple source banking systems, enabling unified access, performance optimization, and governance across the medallion architecture (Bronze, Silver, Gold layers).Key ResponsibilitiesArchitecture &amp; DesignDefine Denodo architecture for data virtualization, caching, security, and query optimization across heterogeneous sources.Enable semantic layer &amp; data abstraction to support Medallion (Bronze/Silver/Gold) architecture.Design high-performance data federation strategies with Cloudera (HDFS, Hive, Impala), Teradata, and real-time Kafka streams.Integration &amp; MigrationWork with Informatica teams to expose curated Silver-layer datasets via Denodo for downstream consumption.Ensure smooth coexistence between legacy systems and new lakehouse through virtualization during migration.Design APIs &amp; services for consuming Gold-layer data products through Denodo.Performance &amp; SecurityImplement caching, query acceleration, and workload management strategies.Define row-level and column-level security, masking, and role-based access controls aligned with bank ISM requirements.Monitor and tune Denodo queries for low latency and high concurrency workloads.Collaboration &amp; GovernancePartner with Cloudera, Teradata, and Informatica architects to align virtualization strategy.Work with Data Governance team to enforce data lineage, metadata, and catalog integration.Provide guidance to ETL, BI, and reporting teams (Power BI, downstream analytics) on Denodo consumption best practices.Required Skills &amp; Experience:10+ years of data architecture experience, with 5+ years in Denodo (v8.x or above preferred).Strong expertise in data virtualization, federation, caching, and query optimization.Hands-on experience integrating Denodo with:<ul><li>Cloudera (Hive, Impala, HDFS, Kafka, Spark)</li><li>Teradata</li><li>Informatica (ETL pipelines, curated data sets)</li><li>Oracle GoldenGate / CDC streams</li><li>Knowledge of banking source systems and data domains (LOS, CLOS, Payments, Trade, Murex, Swift, etc.) is a plus.</li><li>Familiarity with data governance, security (LDAP/AD, Kerberos, SSL, OAuth, masking), and compliance.</li><li>Experience in API design, REST/SOAP services, and BI integration (Power BI, Tableau, MicroStrategy).</li></ul>Nice to Have:<ul><li>Experience with Medallion architecture implementations in hybrid/on-prem ecosystems.</li><li>Exposure to data lakehouse migration programs with co-existence strategies.</li></ul>Job Types: Full-time, Contract Contract length: 6 monthsPay: &#65020;63.00 - &#65020;100.00 per hourExpected hours: 40 per week

Denodo Developer

Syngenta Group

<div>Company Description 
Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT &amp; Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.
Website address - https://www.syngentagroup.com/ 
Job Description 
Purpose
The Data Architect &ndash; Corporate Functions leads high-priority data initiatives, leveraging Databricks to solve complex data challenges for data scientists, AI agents and data consumers. Acting as the bridge between functional data experts and technical data engineers, this role translates business needs into robust, scalable, and well-governed data solutions.
This position is accountable for the end-to-end design, deployment, and user experience of data and analytics products supporting Corporate Functions (Finance, HR, Indirect Procurement, Legal, Facility Management, etc.). The Data Architect owns the full data landscape for intelligent solutions delivered by IT&amp;D teams, including architectural design, proof-of-concept implementation, and management of development, testing, and production environments.
As a key enabler in the Corporate Functions&rsquo; Data &amp; AI journey, the Data Architect ensures data is interoperable, high-quality, well-governed, and hosted on the right platforms. The role works closely with the Central Data &amp; Analytics Architecture team to align functional and enterprise-wide needs, ensure the right technologies are in place, and embed Corporate Functions within the organization&rsquo;s Data Mesh framework.
Accountabilities<ul><li>
Solution Design for Corporate Functions:<ul><li>
Design and implement Databricks-centered data architectures and patterns to meet the needs of Finance, HR, Procurement, Legal, and other corporate functions.</li><li>
Ensure solutions meet requirements for reporting, analytics, and AI/ML, while aligning with enterprise data and security standards.</li></ul></li><li>
Domain &amp; Data Product Architecture:<ul><li>
Architect data products and data domains within a Data Mesh framework, defining ownership, quality controls, and security measures for corporate function datasets.</li><li>
Translate business requirements from corporate stakeholders into scalable, maintainable data designs.</li></ul></li><li>
Data Modelling &amp; Platform Build:<ul><li>
Lead the design of logical and physical data models for corporate function data warehouses and lakehouse environments.</li><li>
Guide Data Engineers in implementing these models and building data pipelines.</li></ul></li><li>
Leadership &amp; Collaboration<ul><li>
Lead and mentor Data Engineers, SMEs, and external consultants working on corporate function data initiatives.</li><li>
Work closely with business analysts, product owners, and governance teams to ensure solutions meet functional and compliance needs.</li></ul></li><li>
Integration &amp; Automation<ul><li>
Architect integration solutions using AWS Glue, Fivetran, and SnapLogic for both batch and real-time data flows.</li><li>
Collaborate with platform teams to automate CI/CD for AWS-hosted data platform components.</li></ul></li><li>
Migration &amp; Modernization<ul><li>
Contribute to migration strategies from legacy corporate data platforms into the Data Mesh and lakehouse environments.</li></ul></li></ul>
Professional Experience:<ul><li>
15+ years of overall professional experience, including:<ul><li>
10+ years in architecting enterprise-scale data solutions.</li><li>
4+ years designing FAIR (Findable, Accessible, Interoperable, Reusable) data products optimized for AI consumption.</li></ul></li><li>
Significant experience in corporate functional domains such as Finance, HR, Procurement, or Legal.</li></ul>
Technical Expertise:<ul><li>
Data Platforms &amp; Cloud: Deep expertise in Databricks and AWS (Redshift, S3, Glue, Lambda, EFS, RDS, Athena, EMR, Spark).</li><li>
Programming &amp; Scripting: Proficient in Python and Linux Bash for automation, ETL, and orchestration.</li><li>
Integration &amp; Tools: Skilled in Fivetran, SnapLogic, and collaboration platforms (Jira, Bitbucket, Confluence).</li><li>
Data Modelling: Strong capabilities in logical, physical, and dimensional modelling; optimization for both row-based and columnar environments.</li><li>
Architecture Best Practices: Ability to design solutions aligned with the AWS Well-Architected Framework and Databricks best practices across compute, storage, database, networking, security, governance, and ML service categories.</li><li>
Enterprise Systems: Experience integrating data from SAP ECC/S4, Ariba, Workday, and other corporate platforms.</li><li>
Multi-Cloud Awareness: Understanding of Azure and Google Cloud offerings for hybrid and multi-cloud strategies</li></ul>
Methodologies &amp; Practices:<ul><li>
Data Governance: Extensive experience implementing governance frameworks within Data Mesh architectures.</li><li>
AI-Ready Architectures: Proven ability to design data products and pipelines optimized for AI/ML consumption.</li><li>
Agile Delivery: Hands-on leadership in Scrum/Agile environments, including roles as Product Owner or Scrum Master.</li><li>
CI/CD &amp; Automation: Skilled in designing and maintaining CI/CD pipelines for data solutions.</li></ul>
Key Competencies:<ul><li>
Strategic Thinking &amp; Problem Solving: Ability to analyse and simplify complex problems, articulate trade-offs for informed decision-making, and make appropriate recommendations.</li><li>
Collaboration &amp; Influence: Excellence in collaboration, cross-functional expectation management, and influencing skills.</li><li>
Business Acumen: Ability to translate business requirements into databases, data warehouses, and data streams.</li><li>
Data Management: Experience in creating procedures to ensure data accuracy and accessibility; analysing, planning, and defining data architecture frameworks (including security, reference data, metadata, and master data); and creating and implementing data management processes and procedures.</li><li>
Stakeholder Engagement: Proven ability to collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.</li><li>
Innovation: Aptitude for researching data acquisition opportunities and developing application programming interfaces (APIs) to retrieve data.</li><li>
Communication: Excellent written, verbal, and meeting facilitation skills.</li></ul> 

Qualifications 
Bachelor's or Master's degree in informatics, computer science, or a related Data &amp; Analytics field. 
Additional Information 
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.
Follow us on: LinkedIn
LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all</div>

Data Architect - Corporate Functions

Continental

<div></div><div><div><div><div><div><div><div>Your tasks
<div><div><ul><li>Govern data acquisition and ingestion architecture for enterprise-wide data &amp; analytics integration.</li><li>Establish reusable, scalable, and governed interfaces to all source systems across business domains.</li><li>Define standards and ensure engineering quality across ingestion pipelines and upstream data flows.</li><li>Act as escalation and design authority for ingestion, unstructured data, and advanced analytics integration points.</li><li>Oversees ingestion and integration design across 100+ data sources.</li><li>Supports 25+ data engineering and data science professionals with ingestion architecture and troubleshooting.</li><li>Interfaces with source system experts, data scientists, platform architects, and functional IT stakeholders.</li></ul> 
Main Tasks<ul><li>Define ingestion frameworks for batch, streaming, and APIs.</li><li>Establish standards for JSON, CSV, XML, and unstructured data.</li><li>Govern manual uploads and exception workflows.</li><li>Collaborate with system owners to define interface specifications.</li><li>Manage schema evolution and API reliability.</li><li>Align ingestion architecture with platform and business requirements.</li><li>Collaborate on ingestion for data science and ML pipelines</li><li>Ensure robust API and event-driven integration for AI/LLM use cases.</li><li>Support complex acquisition scenarios with scalability requirements.</li><li>Review high-risk ingestion pipelines for performance and security.</li><li>Support data engineers on error handling, retries, and load orchestration.</li><li>Ensure ingestion aligns with governance and architecture.</li><li>Maintain ingestion libraries and templates.</li><li>Promote reuse and automation across engineering teams.</li><li>Lead best practices in TDD, code reviews, and pipeline testing.</li><li>Maintain architectural blueprints, templates, and best practices.</li><li>Publish design guidelines and coding standards.</li><li>Create re-usable architecture patterns for lakehouse environments.</li><li>Monitor usage and implement auto-scaling policies.</li><li>Analyze and optimize cluster configurations for cost-efficiency.</li><li>Provide cost transparency and usage reporting to stakeholders.</li></ul> 


</div></div></div><div>Your profile
<div><div>Degree in Computer Science or related field; certifications in Databricks or Microsoft Azure preferred.
6&ndash;10 years in data engineering with strong focus on enterprise-scale data &amp; analytics integration, including ML and LLM scenarios.
Experience building robust ingestion frameworks and reusable components.
Track record of architectural ownership and peer enablement with diverse teams.
Experience working in international teams across multiple time zones and cultures, preferably with teams in India, Germany, and the Philippines. 

</div></div></div><div>Our offer
<div><div>The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:<ul><li>
Training opportunities</li><li>
Mobile and flexible working models</li><li>
Sabbaticals</li></ul>
and much more...
Sounds interesting for you? Click here to find out more. 
Diversity, Inclusion &amp; Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.<div></div>
Ready to drive with Continental? Take the first step and fill in the online application. 

</div></div></div><div>About us
<div><div>Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of &euro;41.4 billion and currently employs around 200,000 people in 56 countries and markets.
 Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.
The IT Digital and Data Services Competence Center of ContiTech caters to all the Business Areas in ContiTech and responsible among other on areas of Data &amp; Analytics, Web and Mobile Software Development and AI
The team for Data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding. 
</div></div></div><div>
</div></div><div><div><div><div><h2 class="jobSectionHeader">Keyfacts
</h2><div><div>Job ID
 
REF87520Q
</div>Location
 
Bengaluru
Leadership level
 
Leading Self
Job flexibility
 
Hybrid Job
<div><div><div>Legal Entity
 
ContiTech India Pvt. Ltd.</div></div></div></div></div></div></div></div></div></div></div></div></div>

IT engineer Data Engineering - Tech Lead

BOEING

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is seeking a highly skilled and experienced Digital Transformation Architect to lead the digital transformation for Air Proprietary 1 in the Air Dominance organization located in Berkeley, MO, focusing on the implementation of DevOps best practices within an organization transitioning from a legacy software development mindset. The ideal candidate will possess a strong architectural background, with the ability to set a clear vision for the transformation across all software teams on the program, influence senior leadership, and motivate teams to embrace new methodologies and technologies.Key Responsibilities:<ul><li>Define and articulate a comprehensive vision for the digital transformation initiative, emphasizing the adoption of DevOps practices</li><li>Develop a strategic roadmap that aligns with organizational goals and addresses the transition from legacy systems to modern development practices</li><li>Present and defend the transformation vision to program senior leadership, ensuring alignment and buy-in from key stakeholders</li><li>Lead the migration of applications and services to cloud technologies, ensuring scalability, security, and performance are prioritized throughout the process</li><li>Develop cloud architecture strategies that align with the overall digital transformation goals and facilitate the transition from on-premises to cloud-based solutions</li><li>Act as a change agent, motivating teams and individuals to embrace new processes, tools, and cultural shifts associated with DevOps</li><li>Lead the design and implementation of DevOps best practices, including continuous integration, continuous delivery, and Infrastructure as Code (IaC)</li><li>Collaborate with cross-functional teams to ensure successful adoption of new methodologies and technologies</li><li>Identify key technical skill gaps within the organization that may hinder the successful implementation of DevOps practices and work closely with leadership to develop hiring strategies and training programs to acquire the necessary talent and skills</li><li>Provide mentorship and guidance to team members, fostering a culture of continuous improvement and learning</li><li>Facilitate workshops and training sessions to enhance the team's understanding of DevOps principles and practices</li><li>Utilize industrial engineering principles to analyze existing systems and processes, identifying areas for optimization and waste reduction to improve overall efficiency</li><li>Define, collect, analyze, and refine Key Performance Indicators (KPIs) and metrics for software delivery and team execution to ensure continuous improvement and accountability</li></ul>Basic Qualifications:<ul><li>Minimum of 10 years of experience in software architecture, with a strong focus on DevOps practices and digital transformation</li><li>5+ years of experience leading successful digital transformation initiatives within large organizations, particularly in transitioning from legacy systems</li><li>5+ years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices</li><li>10 years of experience leading software team and/or projects</li><li>5+ years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations</li><li>Proven experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).</li><li>Strong understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code (IaC).</li></ul>Preferred Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Engineering, Industrial Engineering, or a related field</li><li>Exceptional communication and presentation skills, with the ability to influence and engage stakeholders at all levels</li><li>Strong problem-solving skills and the ability to navigate complex organizational dynamics and the ability to think critically and strategically</li><li>Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment</li><li>Experience in industrial engineering or process optimization is highly desirable</li><li>Experience with AWS or Azure GovCloud</li><li>Relevant certifications in DevOps, cloud technologies, or software architecture (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+) certification</li></ul> Travel: 10%Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range: $151,300.00 - $204,700.00 Applications for this position will be accepted until Nov. 06, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret Clearance Pre-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5PMNhVq2mfPkJ7SgWNfkldGq" width="0" height="0" />

Digital Transformation Architect

Mekdam Holding Group

We are hiring for Senior Solution &amp; Integration Architect, which is leading to IT Sector Cilent in DohaRequired Skills &amp; Experience: <ul><li>10+ years of IT experience, with a strong specialization in enterprise integration and solution architecture across complex, large-scale environments.</li><li>Proven expertise in designing and implementing API-first and event-driven integration across cloud-native, hybrid, and on-premise ecosystems.</li><li>Hands-on experience with end-to-end integration lifecycle including planning, design, development, deployment, governance, and migration of integration solutions and projects.</li><li>Extensive knowledge of integration platforms such as GCP Integration Services (Apigee X, Pub/Sub, Cloud Run, Eventarc, Cloud Functions, Data Fusion, Dataflow, Stackdriver), IBM CP4I (ACE, MQ, APIC), and Azure Integration Services (API Management, Logic Apps, Event Grid) etc..</li><li>Strong hands-on background with ESB, iPaaS, and middleware platforms and tools, including experience building integration solutions using Google Application Integration or equivalent stacks.</li><li>Proficiency in microservices architecture, API lifecycle management, event-driven models, and cloud-native service design.</li><li>Strong development experience with containerization and orchestration tools including Docker and Kubernetes, along with working knowledge of DevOps, CI/CD pipelines, and automation tooling for integration delivery.</li><li>Experience in real-time data streaming platforms such as Kafka, Confluent, GCP Pub/Sub, or Azure Event Hub, and their integration with modern data platforms.</li><li>Strong understanding of security frameworks and protocols such as OAuth2.0, JWT, SAML, with practical experience ensuring compliance with regulatory standards including GDPR, PCI-DSS, OWASP, and NIST etc.</li><li>Deep knowledge of logging, monitoring, observability, and SLA enforcement using tools such as Cloud Monitoring, Cloud Logging (Stackdriver), and equivalent platforms.</li><li>Solid experience in designing full-stack, multi-channel digital solutions (web, mobile, desktop, kiosk) that ensure balance between user experience, performance, resilience, reliability, and security.</li><li>Proven ability to integrate applications into broader ecosystems using technologies such as APIs, message brokers, event-streams, microservices, and cloud-native services.</li><li>Strong background in software engineering, architecture, and security, including application security (OWASP Top 10), infrastructure security, and encryption practices</li><li>Preferred knowledge or experience with enterprise architecture and data modeling tools and alignment with EA frameworks such as TOGAF etc.</li><li>Experience working across cloud platforms such as GCP, Azure, OCI, and OpenShift. Provides technical leadership and architecture guidance to diverse stakeholders, translating cross-functional requirements into tailored, scalable solutions.</li><li>Experienced in mentoring development teams in reusable solution design, cost-optimized architecture, API-first thinking, event-driven integration, and DevSecOps adoption. Collaborates effectively with business analysts, product owners, developers, and vendors to transform requirements into viable solution architectures.</li><li>Ensures architectural decisions and designs align with enterprise principles, digital strategies, and operational priorities.</li><li>Leads and coordinates high-level and low-level solution design with internal IT teams and external vendors.</li><li>Actively contributes to architecture governance forums, design reviews, and vendor technical evaluations.</li><li>Defines and enforces non-functional requirements (e.g., scalability, availability, security, observability).</li><li>Participates in RFP processes, vendor selection, and architecture due diligence.</li><li>Ensures ongoing compliance with enterprise architecture standards, data governance policies, and security frameworks.</li><li>Supports the development of architectural reference models, technical roadmaps, and domain-specific principles.</li><li>conducts impact assessments, technical risk reviews, and supports decision-making on complex architectural issues.</li><li>Engages in cross-functional design reviews and enterprise architecture communities of practice.</li></ul>Qualifications: <ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Information Technology, or related discipline.</li><li>Preferred knowledge includes TOGAF, Google Professional Cloud Architect, IBM Integration Architect, Microsoft Azure Architect, or equivalent practices</li></ul>Job Type: Full-time

Senior Solution & Integration Architect

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