AWS Data Engineering Architect

ALIS Software•Boston, MA

6d•Hybrid

About The Position

We are seeking an experienced AWS Data Engineering Architect to design and implement robust data solutions on AWS. This role requires a deep understanding of data engineering principles, cloud services, and modern data architectures like Lakehouse and Medallion. You will be responsible for building scalable data pipelines, ensuring data quality and governance, and collaborating with stakeholders to deliver data-driven insights. The position involves both hands-on technical work and client-facing responsibilities.

Requirements

12-15 years of overall experience in data engineering, data architecture, data warehousing, or business intelligence.
Strong hands-on experience with AWS cloud data services.
Strong hands-on experience with enterprise-scale Databricks platforms.
Advanced experience with Python, PySpark, Apache Spark, SQL, and Delta Lake.
Proven experience designing and implementing enterprise data pipelines and metadata-driven frameworks.
Strong expertise in ETL/ELT architecture, orchestration, optimization, and production operations.
Extensive knowledge of Lakehouse and Medallion Architecture, including Bronze, Silver, and Gold layers.
Strong experience in dimensional modeling, data warehouse design, and reporting data layers.
Experience with batch processing, streaming, incremental loads, and change data capture.
Knowledge of data quality, governance, lineage, metadata management, reconciliation, and observability.
Experience with CI/CD, source control, automated deployment, and environment management.
Excellent communication, presentation, stakeholder-management, and customer-facing skills.
Ability and willingness to work onsite.

Nice To Haves

Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related discipline.
AWS certification such as AWS Certified Solutions Architect or AWS Certified Data Engineer.
Databricks certification such as Databricks Certified Data Engineer Professional.
Experience migrating legacy ETL or data warehouse platforms to AWS and Databricks.
Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight.
Experience in onsite customer-facing architecture, consulting, or delivery roles.
Experience working in Agile or SAFe delivery environments.

Responsibilities

Design and implement enterprise data pipelines and metadata-driven frameworks.
Develop and optimize ETL/ELT processes for production operations.
Architect and implement solutions using Lakehouse and Medallion Architecture (Bronze, Silver, Gold layers).
Design dimensional models, data warehouse structures, and reporting data layers.
Implement batch processing, streaming, incremental loads, and change data capture mechanisms.
Ensure data quality, governance, lineage, metadata management, reconciliation, and observability.
Utilize CI/CD, source control, automated deployment, and environment management practices.
Communicate technical designs and solutions to stakeholders.
Manage customer relationships and provide architectural guidance.
Work onsite to collaborate with teams and clients.