
Job Title: Data & AI Solution Architect — Financials
Location: Boston, MA or Jersey City, NJ
Work mode: Hybrid (3 days onsite must)
Duration: Full-time
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 Could 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:

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