Responsibilities

Technology Strategy & Innovation

Define and execute the company's long-term technology roadmap aligned with business goals.
Lead the adoption of next-generation technologies, especially AI/ML, generative AI, data engineering platforms, cloud-native solutions, and microservices architectures.
Identify opportunities to leverage modern data infrastructure and pipelines to support intelligent and scalable business systems.
Stay updated on global tech trends and recommend innovations that enhance business value and engineering productivity.
Establish WATA’s position as a technology-first company with thought leadership in AI, data engineering, and digital transformation.

Technical Leadership

Set engineering standards and enforce best practices in architecture, code quality, CI/CD, DevOps, data infrastructure, and security.
Oversee complex system designs and guide scalable, resilient technical and data solution
Oversee project teams to ensure successful project delivery, ensuring technical alignment, quality, and timely execution across all engineering initiatives.
Lead technical reviews, audits, refactoring initiatives, and continuous improvement programs across software and data systems.

AI, Data Engineering & Modern Tech Implementation

Integrate AI-powered and data-driven tools across the software lifecycle (e.g., GitHub Copilot, AI test automation, analytics platforms).
Drive implementation of AI- and data-enabled features in client products (e.g., chatbots, recommendation engines, real-time dashboards).
Champion for the use of modern data engineering tools such as Apache Kafka, Apache Airflow, Spark, DBT, Snowflake, BigQuery, and cloud-based data lakes.
Lead internal R&D efforts to build reusable AI/data accelerators, scalable ETL pipelines, and intelligent platform solutions.
Ensure data reliability, observability, and compliance with best practices in data governance and platform scalability.

Presales & Client Solutioning

Collaborate with BD and Sales teams to craft competitive, technically sound proposals.
Support solution architecture, SoW creation, and PoC demos, especially for AI/data engineering-related offerings.
Engage directly with clients to translate business needs into scalable software and data platform strategies.

Team Development & Leadership

Build, mentor, and grow a world-class engineering team, including software engineers, architects, and data engineers.
Guide team development through training on modern frameworks, cloud, AI/ML, and data engineering tools.
Foster a culture of learning and innovation across software and data teams, focused on quality, agility, and business value.

Cross-Functional Collaboration

Work with PMO, HR, Finance, and Operations to align delivery capabilities with business demand.
Ensure teams are equipped with the latest platforms, cloud resources, and data infrastructure.
Support hiring and retention of top-tier talent across full-stack, AI, and data engineering disciplines.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.
8+ years of experience in software and/or data engineering, with 3+ years in a technology leadership role.
Deep expertise in AI/ML, cloud platforms (AWS, Azure, GCP), data engineering tools (Kafka, Airflow, Spark, DBT, Snowflake, BigQuery), and scalable system architecture.
Proven experience with offshore delivery, global clients, and technical consulting.
Track record of implementing data-driven enterprise solutions.
Excellent communication, leadership, and decision-making skills.
Fluent English required (verbal and written).