Sr. Data Engineer

Hi,

Greetings from Keen Technology Solutions LLC!

Data Engineer,

Pasadena, CA (Hybrid),

Only w2 contract.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in data engineering, data architecture, business intelligence platform engineering, or enterprise data platform delivery is required.
• Strong proficiency with Azure Synapse, Microsoft Fabric, ADLS Gen2 / OneLake concepts, Power BI, Power Automate, Microsoft Purview, and Azure data integration patterns is required.
• Optional working knowledge of Snowflake architecture and administration concepts is preferred, including the storage, compute, and cloud services layers; virtual warehouses; micro-partitioning and clustering; role-based access control; masking policies; secure data sharing; Snowpipe; Streams; Tasks; Time Travel; resource monitors; and platform cost controls.
• Strong knowledge of data lake architecture, lakehouse patterns, data warehousing, dimensional modeling, semantic modeling, metadata management, and enterprise data governance best practices is required.
• Experience leading architecture assessments, proposing target-state architecture changes, documenting technical roadmaps, and presenting recommendations to technical and non-technical stakeholders is required.
• Advanced SQL skills and experience with ETL/ELT development, pipeline orchestration, data modeling, performance tuning, data reconciliation, and troubleshooting complex data issues is required.
• Demonstrated experience implementing governance controls such as role-based access, sensitivity classification, lineage, cataloging, data quality rules, audit logging, change control, and production release evidence is required.
• Ability to mentor technical staff, establish engineering standards, lead design reviews, and promote consistent development, documentation, and support practices across the data management team is required.
• Excellent verbal and written communication skills, including the ability to explain architecture decisions, governance controls, risks, tradeoffs, and implementation plans to executives, business stakeholders, and technical teams, are required.
• Experience with DevOps practices for data platforms, including Git-based source control, pull request reviews, CI/CD pipelines, deployment automation, environment promotion, rollback planning, and separation of duties is preferred.
• Experience comparing Snowflake with Microsoft Fabric, Azure Synapse, ADLS Gen2, OneLake, or other enterprise data platforms for workload fit, governance alignment, interoperability, scalability, performance, security, cost management, and long-term architecture planning is preferred.
• Knowledge of data privacy, security, regulatory compliance, and audit-ready control frameworks for sensitive enterprise data is preferred.

Eligibility Criteria

• Must be legally authorized to work in the country USA.
• Proven track record of leading successful data engineering, data architecture, data lake modernization, or enterprise reporting platform initiatives.
• Demonstrated ability to evaluate existing architectures, identify gaps, recommend practical improvements, and guide teams through implementation.
• Strong commitment to data accuracy, governance discipline, documentation quality, production stability, and audit readiness.
• Ability to manage competing priorities across architecture planning, hands-on engineering, stakeholder engagement, production support, and team mentorship.
• Strong capacity for continuous learning and professional development, including staying current with Microsoft Fabric, Azure Synapse, Purview, Power BI, cloud data governance, data security, Snowflake capabilities, and modern data architecture practices.