Deskripsi Pekerjaan
Are you ready to architect the future of enterprise intelligence? Accenture is looking for a visionary Data & AI Specialist to join our dynamic team in Metro Manila. In this high-impact role, you will bridge the gap between complex data infrastructure and actionable business strategy, leveraging industry-leading platforms such as Databricks, Snowflake, and Palantir Foundry.
You will work at the intersection of technology and business, designing scalable data models and AI-driven solutions that empower global organizations to unlock hidden insights. If you are passionate about engineering robust data pipelines, modernizing cloud architectures, and driving innovation through advanced analytics, we want to hear from you.
At Accenture, we champion a culture of continuous learning and growth. You will collaborate with elite global teams, gaining exposure to cutting-edge methodologies and high-stakes projects that set the standard for digital transformation across industries.
Tanggung Jawab
- Architect and implement scalable end-to-end data solutions using Databricks and Snowflake environments.
- Design and maintain complex logical and physical data models to support enterprise-level analytical needs.
- Configure and deploy AI workflows within Palantir Foundry to solve critical operational business challenges.
- Collaborate with cross-functional teams to integrate disparate data sources into a unified, high-performance data ecosystem.
- Develop and optimize data pipelines using SQL, Python, or PySpark to ensure data reliability and latency standards.
- Mentor junior team members and contribute to the growth of the internal Data & AI practice.
- Engage with stakeholders to translate business requirements into technical data roadmaps and strategic data architectures.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- Minimum of 3-5 years of experience in data engineering, data modeling, or cloud data architecture.
- Proven expertise in managing and building solutions on platforms such as Snowflake, Databricks, or Palantir Foundry.
- Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
- In-depth understanding of ETL/ELT processes, data warehousing concepts, and data governance frameworks.
- Experience with cloud service providers (AWS, Azure, or GCP) is highly preferred.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.