Technical Lead​/Solution Architect

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.

• 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.
• 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.
• 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.

• 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.

• 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 work streams, 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.

• 10–12 years of experience in data analysis, data engineering, business intelligence, data platform delivery, or a closely related discipline.
• Bachelor’s 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 Data Ops or Dev Ops 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…