Senior Data Architect - VP

10xTalents; Newark (NJ); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading talent acquisition firm is seeking a Senior Data Architect at the VP level in Newark, NJ. The role involves designing and implementing cloud-based data solutions tailored for financial services clients. Ideal candidates will have over 15 years of programming experience, specifically in Python and data architecture. The position offers a hybrid work model and requires expertise in AWS technologies and financial industry experience. Join them to drive innovative solutions in a dynamic sector.

Qualifications

• 15+ years of programming experience, focusing on Python for the last five years.
• Proven track record as a Data Architect designing and implementing cloud solutions.
• Expertise in AWS platforms including S3, Redshift, Aurora, Glue, EMR, EventBridge.

Responsibilities

• Design and implement cloud-based data architectures for financial services.
• Lead data ingestion and integration platform development using AWS Glue and Airflow.
• Ensure compliance with data security regulations for sensitive financial data.

Skills

Cloud-Based Data Solutions

Data Ingestion and Integration

Data Security and Compliance

Financial Industry Expertise

Technical Leadership

Education

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

Tools

AWS Glue

Python

AWS S3

AWS Redshift

AWS Aurora

AWS EMR

Snowflake

Airflow

dbt

Matillion

Kubernetes

Kafka

Kinesis

Job description

About the job Senior Data Architect - VP

• Full-time, direct employment
• Hybrid onsite/remote - Newark, NJ
• No visa sponsorship or C2C at this time
  

Job Description:

Our client is seeking a highly skilled Senior Data Architect at the VP level with extensive experience in designing and implementing cloud-based data solutions for our financial services client. The ideal candidate will have a strong background in data architecture, cloud technologies, programming, and a deep understanding of the financial industry.

Responsibilities:

• Cloud-Based Data Solutions: Design and implement scalable and secure cloud-based data solutions for our financial services client, with a focus on AWS cloud platforms. Utilize AWS services such as S3, Redshift, Aurora, Glue, EMR, EventBridge, and Lake Formation to architect robust data architectures.
• Data Ingestion and Integration: Lead the design and development of data ingestion and integration platforms (ETL/ELT) using AWS Glue, Airflow, dbt, Matillion, and other relevant technologies. Ensure efficient and reliable data pipelines for processing large volumes of data.
• Data Security and Compliance: Implement data security and privacy measures in compliance with industry regulations and best practices. Ensure encryption, access controls, and compliance with data protection regulations to safeguard sensitive financial data.
• Financial Industry Expertise: Leverage your extensive experience in the financial industry to understand business requirements and design data solutions tailored to the unique needs of asset management and other financial services sectors.
• Technical Leadership: Provide technical leadership and mentorship to the data engineering team. Collaborate with cross-functional teams to translate business requirements into technical solutions and drive the implementation of best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 15+ years of programming experience, with at least the last five years focused on Python. Proficiency in Java is also desirable.
• Proven experience as a Data Architect, with a track record of designing and implementing cloud-based data solutions.
• Strong expertise in AWS cloud platforms, including services such as S3, Redshift, Aurora, Glue, EMR, EventBridge, and Lake Formation.
• Experience with Snowflake is a must.
• Extensive experience designing and building data ingestion and integration platforms using AWS Glue, Airflow, dbt, Matillion, etc.
• Proficiency in SQL, data querying, and performance optimization techniques.
• Familiarity with cloud infrastructure technologies such as containers, Kubernetes, and serverless computing.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong experience with data structures, data modeling, data lineage, and data catalogues.
• Financial industry experience is a must, with asset management experience desirable.
• Knowledge of streaming or messaging technologies like Kafka or Kinesis is desirable.
• Certifications in cloud platforms or data management (e.g., AWS Certified Solutions Architect) are highly desirable.

If you meet these qualifications and are passionate about leveraging cloud technologies to architect data solutions in the financial services industry, we encourage you to apply for immediate consideration.