Data & AI Solution Architect

Hexaware Technologies
Boston, MA, United States
about 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 Distributed Systems Oracle Exadata Apache Hadoop Hadoop Distributed File System Apache Hive Apache Yarn Snowflake Apache Spark Data Lakes
+3 more
Spark Streaming Data Management Databricks

Requirements

  • 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, * 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:32 min

Evolution of centralized data architectures and open table formats

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

See all

Related articles

See all