Senior Data Engineer

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Job Responsibilities

• Own end‑to‑end reliability of data pipelines across ingestion, transformation, and serving layers 

• Design scalable ELT/ETL pipelines with retry, backfill, and safe reprocessing capabilities 

• Implement monitoring, alerting, and incident response patterns to improve pipeline stability 

• Enforce SDLC best practices (branching strategy, code reviews, CI/CD, release management) 

• Establish traceable change management with documented approvals and rollback plans 

• Implement and maintain data quality testing, freshness checks, and anomaly detection 

• Detect and manage schema drift and breaking changes proactively 

• Improve pipeline observability through monitoring of job failures, anomalies, and cost spikes 

• Optimize pipeline performance and warehouse costs through workload tuning and partitioning 

• Track and report on reliability KPIs (e.g., pipeline success rate, SLA adherence, MTTR) 

• Develop and maintain runbooks, recovery procedures, and operational documentation 

• Automate common operational workflows such as backfills and dependency management 

• Partner with Analytics Engineering and BI teams to support reliable downstream consumption 

• Collaborate with Platform, Governance, and Security teams on controls and audit readiness 

• Support delivery of incremental releases to improve stability and reduce operational risk 

Requirements

• Bachelor's Degree in Computer Information Systems or a related field or equivalent experience. 

• Minimum of 5 years of experience operating production data pipelines end‑to‑end to include but not limited to the following: 

• Proven experience applying SDLC best practices in data engineering environments, including experience supporting CI/CD for data engineering workflows 

• Hands‑on experience implementing data quality testing and production controls 

• Strong SQL and programming experience (e.g., Python) 

• Experience with orchestration, monitoring, and performance optimization of data workloads 

Preferred Qualifications

• Experience in regulated or audit‑focused environments 

• Familiarity with data governance, lineage, or cataloging workflows 

• Experience implementing monitoring, alerting, or observability solutions 

• FinOps mindset for data warehouse cost optimization 

• Knowledge of data reliability or data quality frameworks 

• Experience collaborating with Security or Compliance teams 

• Familiarity with change management or release processes in production environments 

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.  

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