Data Architect / Principal Data Engineer III

· Farmington Hills, Michigan

Contract: VMS · via bullhorn · posted 11/4/2026

Create a free account to apply

Apply links, saved jobs, and fit scores unlock the moment you sign in.

Sign up free →

OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits on the first day of employment, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today!

Job Summary
The Senior Data Engineer is responsible for designing, building, and supporting scalable and secure data solutions for enterprise Wealth & Asset Management applications. The role focuses on data ingestion, transformation, storage, integration, quality, governance, and processing across structured and unstructured data sources.
Key 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 Qualifications

  • 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 submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications.
OpTech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
. https://www.optechus.com/eeo_self_identification/