Black & Grey HR is recruiting for an established technology solutions and services provider in Doha Qatar. Our client is seeking an experienced Technical Lead / Solution Architect to design develop and optimize enterprise data solutions supporting sports sports science venue operations events facilities and corporate functions. The role will focus on data engineering system integration analytical modelling business intelligence and data quality ensuring reliable data flows and actionable insights to support operational efficiency and informed decision-making.
Key Responsibilities:
Data Analysis & System Optimization
- Analyze enterprise and sports-related business systems to identify improvement opportunities optimize performance and support operational decision-making.
- Profile and analyze data to identify trends anomalies and data quality issues communicating insights through reports and dashboards.
- Develop and optimize analytical data models and curated datasets to support reporting self-service analytics and advanced analytical use cases.
Data Engineering & Business Intelligence
- Design build test and maintain ETL/ELT pipelines integrating data from applications databases APIs files sensors and third-party platforms.
- Develop and maintain dashboards semantic models and analytical products with consistent business metrics and reliable reporting outputs.
- Optimize data pipelines database queries and analytical models to improve performance scalability and data accuracy.
- Validate analytical outputs and promote the adoption of data-driven insights and self-service analytics across business functions.
Enterprise Integration & Application Support
- Manage the integration of third-party applications with internal enterprise systems ensuring seamless secure and reliable data exchange.
- Collaborate with application teams and external vendors to resolve integration challenges and improve system interoperability.
- Provide technical support for sports-related applications including troubleshooting system updates and user training.
- Contribute to the ongoing maintenance enhancement and operational reliability of enterprise data platforms and applications.
Data Governance & Sports Science Systems
- Support data analytics platforms used across sports science and athlete performance working with relevant teams to enhance reporting and analytical capabilities.
- Design and optimize data models and curated datasets for data warehouses data lakes and Lakehouse environments.
- Implement data profiling validation reconciliation and quality controls to maintain data accuracy consistency and reliability.
- Maintain metadata data lineage and technical documentation while ensuring appropriate data ownership access controls privacy and retention practices.
Stakeholder Collaboration & Project Coordination
- Engage with business stakeholders solution architects developers infrastructure teams and external vendors to gather requirements and align technical solutions with business objectives.
- Coordinate data and system-related workstreams managing project timelines dependencies and deliverables.
- Contribute to solution planning design testing implementation production support and knowledge transfer.
- Maintain project documentation and track activities using collaboration tools such as JIRA and Confluence.
Requirements
Experience & Education
- 1012 years of experience in data analysis data engineering business intelligence data platform delivery or a closely related discipline.
- Bachelors degree in Computer Science Information Systems or a related field.
- Hands-on experience developing data pipelines integrating multiple data sources modelling analytical data and delivering dashboards or data products.
- Advanced SQL skills and proficiency in Python or a comparable programming language for data transformation automation and analysis.
- Strong understanding of ETL/ELT APIs orchestration data warehouses data lakes Lakehouse architectures and relational and non-relational databases.
- Experience with data modelling query optimization data visualization and business intelligence tools.
- Knowledge of data quality metadata management data lineage security and governance practices.
- Familiarity with source control CI/CD testing monitoring and DataOps or DevOps practices.
- Proficiency in JIRA Confluence and technical documentation.
- Strong analytical problem-solving communication and stakeholder management skills with the ability to translate complex technical information into clear business insights.
Certifications
- Relevant professional certifications in data engineering cloud data platforms analytics or business intelligence are preferred.
- Cloud data engineering certifications from Microsoft Azure AWS or Google Cloud.
- Certifications in Microsoft Fabric Databricks Power BI or equivalent data and analytics platforms.
- Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP) certifications would be an advantage.
Preferred Experience
- Experience working with sports sports science athlete performance venue operations event management or facility management systems.
- Experience integrating enterprise applications sports technology platforms sensors and third-party data sources.
- Experience supporting enterprise-scale data platforms business intelligence solutions and modern data architectures.
- Experience coordinating technical projects involving business stakeholders architects developers infrastructure teams and external vendors.
Qualifications & Experience - 8 years of total IT experience with at least 6 years in a dedicated security operations or incident response role. - Bilingual proficiency with Arabic (Mandatory). - Bachelors degree in Engineering IT Computer Science or a related field. Certifications (Preferred) - Certified Ethical Hacker (CEH) - Certified Information Security Manager (CISM) - GIAC Penetration Tester (GPEN) - Offensive Security Certified Professional (OSCP) - ISO/IEC 27001 Lead Implementer or Lead Auditor - Other relevant cybersecurity certifications will be considered. Required Skillset - Leadership and Team Management - Incident Response and Management - Expertise with SIEM platforms (e.g. Splunk QRadar Sentinel) - Threat Intelligence Analysis and Application - Vulnerability Management Lifecycle - Knowledge of Security Frameworks (e.g. MITRE ATT&CK NIST ISO 27001) - Proficiency in Network Security and Protocols - Automation and Scripting (e.g. Python PowerShell) - Excellent Communication and Reporting Skills - Risk Assessment and Mitigation Strategies
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