1. Project Planning and Execution
Define project scope, goals, and deliverables in collaboration with stakeholders.
Develop detailed project plans, timelines, and budgets for software and data engineering projects.
Manage the end-to-end project lifecycle, including requirements gathering, design, development, testing, deployment, and post-launch support.
Ensure projects are delivered on time, within scope, and within budget.
2. Technical Leadership
Act as a bridge between technical teams (software engineers, data engineers, DevOps) and non-technical stakeholders.
Provide technical guidance and oversight for software and data engineering projects.
Ensure adherence to best practices in software development, data engineering, and cloud architecture.
Stay updated with emerging technologies and trends in cloud computing, data engineering, and software development.
3. Cloud Technology Expertise
Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and implement scalable, secure, and cost-effective solutions.
Collaborate with cloud architects and engineers to optimize cloud infrastructure and services.
Ensure cloud-based solutions align with organizational security, compliance, and performance standards.
4. Team Management
Lead cross-functional teams, including software developers, data engineers, QA engineers, and DevOps professionals.
Foster a collaborative and productive work environment.
Mentor team members and promote continuous learning and skill development.
5. Stakeholder Communication
Serve as the primary point of contact for project stakeholders.
Provide regular project updates, status reports, and risk assessments to stakeholders.
Manage stakeholder expectations and ensure alignment with project goals.
6. Risk and Issue Management
Identify, assess, and mitigate project risks and issues.
Develop contingency plans to address potential challenges.
Ensure timely resolution of technical and operational issues.
