About the Company
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create long-lasting value for our clients, people and communities.
Job Description
We are seeking a highly skilled and experienced Big Data Architect with expertise in Hadoop and Spark to join our dynamic team in Coral Springs, FL. This is an exciting opportunity to design, build, and implement cutting-edge big data solutions for our diverse client base. The ideal candidate will be a visionary leader capable of translating complex business requirements into robust and scalable big data architectures. This position includes visa sponsorship for qualified candidates looking to relocate and contribute to our innovative projects. You will be instrumental in driving the architectural vision for our data platforms, ensuring performance, reliability, and security of large-scale data processing systems.
Key Responsibilities
- Lead the design and implementation of large-scale, high-performance big data solutions using Hadoop, Spark, and related technologies.
- Define and enforce big data architectural best practices, standards, and guidelines.
- Collaborate with data engineers, data scientists, and business stakeholders to understand requirements and translate them into technical specifications.
- Evaluate and recommend new big data technologies and tools to enhance existing platforms and capabilities.
- Ensure the scalability, reliability, security, and performance of big data platforms.
- Provide technical leadership and mentorship to junior team members.
- Develop data ingestion, processing, and storage strategies for complex datasets.
- Troubleshoot and resolve complex architectural and data-related issues.
Required Skills
- Extensive experience with Hadoop ecosystem components (HDFS, YARN, Hive, Kafka, etc.).
- Proven expertise in Apache Spark for data processing and analytics.
- Strong proficiency in programming languages such as Python, Scala, or Java.
- Deep understanding of data warehousing concepts, ETL processes, and data modeling.
- Experience with cloud big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a collaborative team.
Preferred Qualifications
- Master's degree in Computer Science, Engineering, or a related field.
- Certifications in Hadoop, Spark, or major cloud platforms (e.g., AWS Certified Big Data – Specialty).
- Experience with real-time data streaming technologies (e.g., Apache Kafka, Flink).
- Familiarity with data governance, data quality, and metadata management.
- Experience in a consulting environment or working with multiple clients.
Perks & Benefits
- Competitive annual salary.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company matching.
- Paid time off and company holidays.
- Professional development and training opportunities.
- Visa sponsorship and relocation assistance.
- Employee wellness programs.
- Opportunities for career advancement within a global firm.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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