Data Engineering Architect
Boston, MA Hybrid
Roles & Responsibilities
• 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.
Preferred Qualifications
• 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.
Thanks & Regards
Mohammad Faisal
