Data Engineering Architect

ALIS Software • Boston, MA

6d • Hybrid

About The Position

We are seeking a highly experienced Data Engineering Architect to join our team. This role will be responsible for designing and implementing robust data solutions, leveraging AWS cloud data services and enterprise-scale Databricks platforms. The ideal candidate will have a strong background in data engineering, data architecture, and ETL/ELT processes, with a proven ability to lead complex data projects and collaborate effectively with stakeholders.

Requirements

• 15+ years of overall experience in data engineering, data architecture, data warehousing, or business intelligence.
• Strong hands-on experience with AWS cloud data services and 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 architecture, orchestration, and production operations.
• Implement and manage Lakehouse and Medallion Architecture (bronze, silver, gold layers).
• Design dimensional models, data warehouse structures, and reporting data layers.
• Manage batch processing, streaming, incremental loads, and change data capture.
• Ensure data quality, governance, lineage, metadata management, reconciliation, and observability.
• Implement CI/CD, source control, automated deployment, and environment management.
• Communicate effectively with stakeholders, present solutions, and manage customer relationships.
• Work onsite as required.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree