Data Architect

TechDigital Group; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to design and implement robust data management frameworks. This role emphasizes architecting data engineering pipelines utilizing AWS services, optimizing database models, and ensuring data governance. The ideal candidate will possess strong expertise in data transformation and security, with the ability to work with diverse data types. Join a forward-thinking company that values data-driven solutions and offers an exciting opportunity to make a significant impact in the finance domain. If you are passionate about data architecture and enjoy solving complex challenges, this position is perfect for you.

Qualifications

• Expertise in data management and governance frameworks.
• Proficient in architecting data pipelines using AWS services.

Responsibilities

• Ensure data management frameworks are in place and followed.
• Architect data engineering pipelines leveraging AWS services.

Skills

Data Management

AWS Services

Database Modeling

Data Transformation

Data Security

Data Quality

Data Pipeline Architecture

Presentation Skills

Tools

Snowflake

Job description

Job #: 1791
Pay Rate: Not Specified
Job type: contractor
Location: Chicago, IL

Responsibilities

1. Responsible for ensuring that the data management and governance frameworks are in place and adhered to.
2. Responsible for architecting data engineering pipelines including data acquisition, ingestion, management, processing, and publishing by leveraging various AWS services.
3. Responsible for developing and optimizing database models to store and retrieve company information.
4. Responsible for determining strategic data requirements and creating high-level designs according to these requirements.
5. Responsible for guiding and resolving issues with AWS service configuration, performance, security compliance, data quality issues, and data retrieval.
6. Prepare architecture and high-level design documents for the data engineering pipelines.
7. Designing DevOps & DataOps pipelines and resolving issues during implementation and execution.
8. Responsible for researching data acquisition opportunities.

Skillset

Candidate Self Rating (5)
Candidate Writeup
Work Experience (Years)
Finance Domain Data expertise. Ability to model data in Data Lake and Data Warehouse for analytical use cases. Ability to understand and negotiate solutions with business teams/business analysts. Ability to architect and design data storage, data transformation, data security, data quality, and performance optimization techniques in AWS and Snowflake. Ability to architect and solution data pipelines for batch, streaming, API, message queues, and real-time sources. Ability to work with structured, semi-structured, and unstructured data. Ability to create clear and impactful presentations based on audience.