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Solutions Architect
| Company | Broadridge |
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| Location | Newark, NJ, USA |
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| Salary | $175000 – $200000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Minimum of 8-10 years of experience in data architecture or solutions architecture roles, with a focus on financial systems.
- Strong expertise in Snowflake data platform and integrating with AWS services including AWS Glue, Lambda, and others.
- Extensive experience with Apache Airflow for workflow management and data pipeline development.
- Proficiency in managing data integrations through REST APIs, batch processing, and Kafka data streaming.
- Deep understanding of data governance tools like Collibra and experience implementing data governance frameworks.
- Familiarity with monitoring and observability tools such as Splunk and Datadog.
- Proven ability to work in a fast-paced environment, managing multiple projects simultaneously.
- Excellent communication and interpersonal skills, with a strong ability to work across diverse business units.
- Demonstrated experience leading and mentoring technical teams.
Responsibilities
- Lead the design and architecture of a robust data platform on Snowflake, capable of handling large volumes of data and supporting complex financial processes.
- Oversee the integration of hundreds of upstream and downstream applications, ensuring seamless data flow using real-time, REST APIs, batch processes, and Kafka data streaming.
- Build and optimize ETL processes using AWS Glue jobs and Apache Airflow for efficient data processing and management.
- Implement and manage a variety of security protocols to protect data integrity and compliance with industry standards.
- Utilize Collibra to ensure data governance practices are adhered to, maintaining accurate data lineage and high data quality.
- Collaborate with IT and security teams using Splunk and Datadog to implement monitoring and observability best practices, ensuring platform reliability.
- Leverage Python applications and AWS Lambda functions to automate tasks and optimize platform performance.
- Work closely with financial analysts, data scientists, and other stakeholders to gather requirements and deliver solutions that meet business needs.
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of continuous learning and improvement.
Preferred Qualifications
No preferred qualifications provided.
