Data Architect / Principal Data Engineer III

Project overview

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Architect / Principal Data Engineer for a CONTRACT assignment with one of our premier Banking clients in Farmington Hills, MI . Hybrid schedule 3x weekly onsite

Responsibilities

Required Skills :

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SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

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Job Facts: Contract W2 | On-site | USD $75.00 - 85.00 per hour

Skills: Banking, MI, Marketing Intelligence, Unstructured Data, Extraction, Amazon Web Services, Analytics, Use Cases, Encryption, Database, Scalability, Collaboration, DevOps, Cyber Security, Data Engineering, Data Integration, Python, SQL, PostgreSQL, Amazon RDS, Amazon DynamoDB, Amazon S3, Extract, Transform, Load, ELT, Data Processing, Workflow, Data Modeling, JSON, Apache Parquet, Data Quality, Meta-data Management, Document Processing, Privacy, Artificial Intelligence, Recruiting, MEAN Stack, Customer Service, Training And Development, SAP BASIS

Reference: Dice Id: sgainc | Position Id: 26-02851

• Design and develop scalable data ingestion and ETL/ELT pipelines.
• Build solutions for structured, semi-structured, and unstructured data.
• Develop reusable data-processing and transformation components using Python and SQL.
• Design and support data models using PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3.
• Support document ingestion and extraction using Amazon Textract, where applicable.
• Prepare and transform data for application, search, analytics, and AI-enabled use cases.
• Support vector-based retrieval using PostgreSQL/pgvector, where required.
• Implement data quality, validation, reconciliation, metadata, lineage, retention, and governance controls.
• Implement secure data access and encryption for sensitive information.
• Optimize data pipelines and databases for performance, reliability, scalability, and cost.
• Implement monitoring and troubleshoot data-processing and integration issues.
• Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams
• 8+ years of experience in data engineering, data integration, or related roles.
• Strong hands-on experience with Python, SQL, PostgreSQL, Amazon RDS, DynamoDB, and S3.
• Experience developing and supporting ETL/ELT pipelines and data-processing workflows.
• Experience with data modeling, APIs, JSON, Parquet, and pgvector.
• Strong understanding of data quality, metadata, governance, security, and operational monitoring.
• Experience working within large enterprise or regulated environments.
• Experience supporting document-processing and AI-enabled data solutions.

Project details

• Start: flexible
• Remote: onsite
• Location: Farmington Hills, MI, US, US
• Rate: 75-85 EUR/h