CLOUD AMAZE - DW Architect (Practice)
Hexaware Technologies
Data & AI Solution Architect — Financials
Location: Boston, MA or Jersey City, NJ
Work mode: Hybrid (3 days onsite must)
Duration: Full-time
Role Summary: We are seeking highly skilled and experienced Data Practice / Solution Architects to work onsite with our esteemed clients. The ideal candidates will have expertise in designing and implementing cutting-edge data solutions tailored to the client's specific needs. The roles require a deep understanding of cloud platforms, big data technologies, and data architecture principles. The architects will be responsible for driving end-to-end data strategies, ensuring scalability, performance, and reliability of data systems.
Key Responsibilities:
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Design and implement scalable, secure, and high-performance data architectures.
- Provide technical leadership and guidance to development teams.
- Optimize data pipelines, storage, and processing frameworks for efficiency and cost-effectiveness.
- Ensure data governance, security, and compliance standards are met.
- Evaluate and recommend tools, technologies, and frameworks based on project needs.
- Conduct performance tuning and troubleshooting of data systems.
- Stay updated with emerging trends and technologies in cloud and big data ecosystems.
Technical Skills:
- Big Data Architect (Spark): Extensive experience with Apache Spark for big data processing and analytics.
- Proficiency in Spark Core, Spark SQL, Spark Streaming, and MLlib.
- Knowledge of distributed computing systems and frameworks.
- Familiarity with Hadoop ecosystem components such as HDFS, Hive, and YARN. Expertise in optimizing Spark jobs for performance and scalability.
- Designing and implementing data platforms on Azure Cloud using Snowflake and Databricks.
- Five years of prior experience in modernizing and migrating legacy data platforms to cloud is a must-have experience.
- Hands-on experience with Exadata is plus.
Experience & Education:
- 10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse's.
- At least 5 years of experience in the financial domain.
- 3-5 years of experience with SEI Wealth Management must-have experience.
- 5 plus years of experience in creating data models.
Vacancy posted 12 hours ago
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