Data Architect / Principal Data Engineer III

Farmington Hills, MI, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
On-site
USD $75.00 - 85.00 per hour
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Job Details

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

Summary

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 :
  • 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

Required Skills :
  • 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.


By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

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 .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-02851
  • Posted 1 hour ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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