Data Architect

The Value Maximizer; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Professional development opportunities

Job summary

A leading financial services provider is seeking a Data Architect to focus on Payments and Merchant Services within Commercial Banking. This role involves designing and implementing data solutions, leading ETL development, and ensuring data security compliance. The ideal candidate has over 12 years of experience in data architecture, specifically in payments, along with a deep understanding of payment technologies. A competitive salary and benefits package are offered, along with opportunities for professional growth.

Qualifications

• 12+ years of experience in data architecture or related fields.
• Experience in Commercial Banking, particularly in Payments or Merchant Services.
• Proficiency in SQL, Python, and data modeling technologies.

Responsibilities

• Design and implement data architectures for Payments and Merchant Services.
• Lead the development of ETL/ELT pipelines with various tools.
• Implement data streaming solutions using modern technologies.

Skills

Data architecture

Data engineering

SQL

Python

Spark

PySpark

ETL

Streaming technologies

Data modeling

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Informatica

DBT

Talend

ADF

Glue

Kafka

Event Hub

Kinesis

Job description

Data Architect - Payments & Merchant Services

Location: Dallas, TX, Clevland OH, Pittsburgh PA

Workplace Type: Hybrid

About The Role

We are seeking a highly experienced and motivated Data Architect to join our team, focusing on Payments and Merchant Services within the Commercial Banking sector. In this role, you will be responsible for designing, developing, and implementing data solutions that support our critical business functions. You will work closely with business stakeholders, data engineers, and other technology professionals to ensure that our data architecture is scalable, secure, and aligned with our strategic goals. This is an exciting opportunity to make a significant impact on a growing organization and contribute to the future of banking technology.

Key Responsibilities

• Design and implement data architectures for Payments and Merchant Services, ensuring scalability, security, and performance
• Develop data models (relational, dimensional, NoSQL) to support business requirements
• Lead the development of ETL/ELT pipelines using tools such as Informatica, DBT, Talend, ADF, and Glue
• Implement data streaming solutions using technologies like Kafka, Event Hub, and Kinesis
• Establish and maintain data governance policies and procedures
• Collaborate with data engineers and other technology professionals to ensure the successful implementation of data solutions
• Provide technical leadership and mentorship to junior team members
• Stay up-to-date with the latest trends and technologies in data architecture and payments
• Ensure compliance with data security and privacy regulations
• Work with stakeholders to understand data needs and translate them into technical specifications

Required Skills & Qualifications

• 12+ years of experience in data architecture, data engineering, or enterprise architecture
• Proven experience in Commercial Banking, specifically within Payments or Merchant Services domains
• Deep knowledge of payment instruments and rails: ACH, Wires, RTP, SWIFT, card networks, tokenization
• Hands-on experience with data modeling (relational, dimensional, NoSQL)
• Proficiency in SQL, Python, Spark, and PySpark
• Experience with ETL/ELT tools (Informatica, DBT, Talend, ADF, Glue, etc.)
• Experience with streaming technologies (Kafka, Event Hub, Kinesis)
• Familiarity with MDM, metadata management, and data lineage tools
• Solid understanding of data security and compliance frameworks
• Excellent communication and collaboration skills
• Bachelor's degree in Computer Science, Engineering, or a related field

Additional Information

This role offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The position requires occasional travel to other company locations and client sites. The successful candidate will be subject to a background check and drug screening. We are looking for a highly motivated and results-oriented individual who is passionate about data and technology. If you are a strong problem-solver with a proven track record of success, we encourage you to apply.