Data Solution Architect (Spark) - Financials Domain

Hexaware Technologies
Boston, MA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Big Data Data Architecture Data Governance Data Systems Distributed Systems Oracle Exadata Apache Hadoop Hadoop Distributed File System Apache Hive Performance Tuning
+8 more
Apache Yarn Snowflake Apache Spark Data Lakes Spark Streaming Data Management Data Pipelines Databricks

Job description

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.

Requirements

  • 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, * 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 is must have experience.
  • 5 plus years of experience in creating data models.

About the company

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

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