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Data Architect
Job in
Worcester, Worcester County, Massachusetts, 01609, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Responsibilities
- Develop and enhance canonical data models, semantic models, and domain‑driven data contracts to enable cross‑enterprise data interoperability.
- Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
- Design and implement data architecture patterns to support real‑time streaming solutions using Kafka.
- Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‑governed data models.
- Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
- Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda), and Snowflake.
- Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
- Support enterprise initiatives around real‑time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.
- Significant experience with canonical data modeling and enterprise‑wide conceptual/logical/physical modeling.
- Strong background in semantic modeling and data mesh design principles.
- Hands‑on experience with Kafka, including event modeling, schema strategy, and real‑time pipeline architecture.
- Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
- Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
- Familiarity with data governance, data quality, metadata, and lineage frameworks.
- Strong SQL skills and proficiency in at least one programming language (Python preferred).
- Excellent communication skills with the ability to work across technical and business teams.
- Hands‑on experience with enterprise data catalog and metadata systems.
- AWS certification (Solutions Architect, Data Analytics Specialty, etc.).
- canonical data modeling
- conceptual modeling
- logical modeling
- physical modeling
- semantic modeling
- data mesh design
- real‑time pipeline architecture
- ETL
- ELT
- SQL
- communication
- collaboration
- AWS Solutions Architect
- AWS Data Analytics Specialty
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