Data Engineering & Architect Lead

Surge Global is a digital consultancy that leverages marketing, data, and technology to help businesses grow. As Sri Lanka’s leading digital firm, we employ the best content, creative, design, and engineering talent the country has to offer.

Embracing a culture of transparency and equality in the workplace, we’ve built an environment that helps Sri Lanka’s best marketing and creative talent thrive. Our team approaches complex, multivariate challenges with an open mind and a strong willingness to continuously test, learn, and innovate.

With our headquarters in Colombo, Sri Lanka , we support and scale startups to Fortune 500 companies across the United States, Europe, Australia, Middle East, Papua New Guinea, Fiji, and Sri Lanka .

The Data Engineering & Architect Lead involves driving the design, development and evolution of the organisation’s enterprise data engineering & platform strategy and owns and leads the Data Engineering and Architecture pillar of the CoE.

The role provides leadership in building the organisation’s data and advanced analytics platform as an enterprise-wide data landscape, designed to drive innovation and establish an agile ecosystem aligned with the data & technology roadmap. It ensures the platform supports strategic business initiatives, advanced analytics, innovations, AI/ML, and enterprise BI requirements, while embedding strong data governance practices.

Responsibilities

• Drive the organisation’s enterprise data & Advanced Analytics platform strategy, providing leadership to ensure platforms are scalable, secure, and aligned with business priorities for all data types including structured, unstructured, and streaming.
• Lead the design and architecture of enterprise data & Advanced Analytics platforms, establishing standards, integration practices, and guidelines to ensure consistency, reliability, and performance across all systems.
• Oversee data engineering processes and platform optimization to ensure efficient, high-performance data processing and integration across the enterprise.
• Create an enterprise-wide data & Advanced Analytics platform as a landscape that drives innovation, supports advanced analytics, AI/ML, and BI requirements, and enables an agile technology ecosystem.
• Embed data governance practices into the platform, ensuring adherence to security, regulatory, and quality standards for all data types.
• Partner with business leaders, technology teams, and data governance functions to ensure the platform meets enterprise-wide requirements and supports strategic initiatives.
• Drive adoption of emerging technologies, tools, and methodologies to create a flexible, future-ready data platform ecosystem.
• Guide and mentor platform teams, promoting skills development, knowledge sharing, and adherence to architecture principles.

Competencies

• Enterprise data platform design & architecture
• Leading data engineering
• Cloud & big data expertise
• Data governance & quality and compliance
• Strategic thinking & vision
• Cross functional collaborations & stakeholder management
• Problem solving & critical thinking
• Innovation & agility enablement
• Team leadership & capability building

Educational Qualifications

• Master’s Degree in Information Technology/Data Engineering/Data Science/Computer Science or a related field.
• A professional certification such as Certified Data Management Professional, Professional Certification in Data Engineering, Data Platform, Data Architect or a related field will be an added advantage.

Work Experience

• A minimum of 8 years of work experience in the field of Data, Data Engineering, Data Architecture, Computer Science or related fields will be an added advantage.
• Experience in leading or mentoring data engineering teams, platform architect initiatives or enterprise data projects will also be an added advantage.