CLOUD AMAZE - DW Architect (Practice)

Job Title: 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 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:

• 10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse’s.
• At least 5 years of experience financial domain
• 3-5 years of experience with SEI Wealth Management must have experience.
• 5 plus years of experience in creating data models.