2486 Data Architect / Principal Data Engineer III
Job Description
Job Description
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Job Title: Data Architect / Principal Data Engineer III
Location: Farmington Hills, MI (onsite 4x/wk - local candidates strongly preferred)
Years of Experience: 8+
TOP SKILLS:
Must Have
- Amazon RDS
- DynamoDB
- ETL/ELT pipelines and data-processing workflows
- Experience with data modeling, APIs, JSON, Parquet, and pgvector
- PostgreSQL
- Python
- S3
- SQL
What You’ll Do
Position 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.
What You’ll Get
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- Paid vacation time
- Paid Bench time
- Training allowance offering
- You’ll be eligible to earn referral bonuses!