Accolite
Lead Engineer
Job Description
Responsibilities
● Provide technical leadership for the Data Operations Engineering team.
● Architect, implement, and enhance data flow monitoring, alerting, and observability solutions.
● Oversee the setup and management of high-volume, business-critical integrations (AS2, SFTP, API).
● Ensure compliance with DSCSA data exchange requirements, including EPCIS event ingestion and transmission.
● Act as the escalation point for Tier 2/3 technical issues, coordinating with Product and Engineering as needed.
● Perform root cause analysis of production issues and drive long-term remediation.
● Partner with Product to align Data Ops capabilities with roadmap priorities.
● Mentor and coach Data Operations Engineers, fostering a culture of reliability and accountability.
● Lead incident response and communication during major data issues.
Qualifications
● Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field; 7+ years of relevant experience with at least 2 in a leadership role.
● Deep experience with data pipeline monitoring & alerting, quality & anomaly detection
● Advanced SQL and experience working with data file formats (flat file, JSON, XML, Parquet, Avro, ORC).
● Experience with scripting/programming technologies (Python, Shell, Scala, or equivalent).
● Expertise in data integration technologies (AS2, SFTP, APIs) and event-based data exchange (EPCIS).
● Strong experience with observability and data quality platforms (Datadog, Monte Carlo, Acceldata).
● Strong understanding of cloud platforms (GCP preferred).
● Demonstrated success leading technical teams and mentoring engineers.
● Excellent communication and stakeholder management skills.
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