Overview
On Site
Full Time
Skills
Data Architect
GCP
MDM
bigquery
Job Details
Job Summary
We are seeking an experienced Data Architect to design and implement scalable data solutions, ensuring high-quality master data management (MDM) and seamless integration across enterprise systems. The ideal candidate will have expertise in Google Cloud Platform (Google Cloud Platform), real-time data pipelines, and MDM solutions, with a strong ability to collaborate with stakeholders to drive data strategy.
Key Responsibilities
- Design and architect Master Data Management (MDM) solutions to serve as the single source of truth for customer/account data.
- Collaborate with business stakeholders to define data requirements, scope, and quality improvement initiatives.
- Develop near-real-time data pipelines from sources like Salesforce and SAP into Google BigQuery and Elasticsearch for search optimization.
- Implement fuzzy matching algorithms for customer/address deduplication and record linkage in endpoint applications.
- Leverage Google Cloud Platform Dataproc and other Big Data tools (e.g., Dataflow, Pub/Sub) for efficient data processing and ETL workflows.
- Ensure data architecture aligns with scalability, security, and compliance standards (e.g., GDPR, CCPA).
- Document data models, lineage, and governance policies for enterprise-wide adoption.
Required Skills & Qualifications
- Strong experience in data architecture, MDM, or enterprise data integration.
- Hands-on experience with Google Cloud Platform (BigQuery, Dataproc, Dataflow), Elasticsearch, and real-time data ingestion.
- Proficiency in SQL, Python, or Scala for data processing and automation.
- Knowledge of data governance, quality frameworks, and ETL/ELT best practices.
- Experience with Salesforce/SAP data models and API-based integrations.
- Strong analytical skills with expertise in fuzzy matching and data deduplication.
Preferred Qualifications
- Certifications in Google Cloud Platform (Professional Data Engineer) or MDM tools (e.g., Informatica, Reltio).
- Background in customer/account data domains (B2B/B2C).
- Familiarity with CI/CD pipelines for data deployments.
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.