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Key Responsibilities
Design, develop, and implement scalable data solutions that meet business requirements.
Drive solution architecture design, evaluation, selection, and buy vs. build decisions.
Develop and manage cloud-based data platforms (Azure, AWS, GCP) and oversee data engineering pipelines.
Lead teams in implementing data solutions, ensuring best practices in data governance, quality, and security.
Collaborate with stakeholders (business analysts, data scientists, engineers) to ensure alignment with business objectives.
Manage projects from inception to completion, ensuring timely delivery and effective stakeholder communication.
Provide technical leadership and mentoring to junior team members.
Skills & Attributes for Success
Strong experience in cloud architecture and data platforms (Azure, AWS, GCP).
Hands-on expertise in data engineering, including data pipelines, ETL/ELT, and real-time data processing.
Strong data modeling and architecture knowledge, including data warehousing and data lakes.
Proficiency in tools such as Databricks, Snowflake, Talend, Denodo, or similar technologies.
Ability to work with both technical and non-technical stakeholders.
Strong analytical, problem-solving, and leadership skills.
Excellent communication and collaboration abilities.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Relevant experience in Data Engineering, Solution Architecture, or Project Management.
Experience in leading data transformation projects and working with large-scale enterprise data architectures.
Consulting experience is a plus.
What We Offer
EY offers a competitive remuneration package based on experience, with opportunities for career growth and professional development. Our flexible working arrangements support work-life balance, and our inclusive culture fosters a collaborative and innovative work environment.
Continuous learning: Access to training and development programs to stay ahead in the industry.
Career growth: Opportunities for advancement and leadership roles.
Transformative leadership: Work with industry leaders and gain valuable mentorship.
Diverse and inclusive culture: Be part of a team that values diversity and innovation.
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