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Generic support title, metro location, broad data platform skillset, and recognizable employer increase competition.
Requires specific data platform and Azure experience, somewhat transferable but domain-focused across industries.
Multiple mandatory data platform, cloud, and monitoring skills create stringent technical screening requirements.
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Provide L2 support and operations for data pipelines, ETL processes, and data platforms ensuring availability, accuracy, and timeliness.
Implement and manage monitoring, alerting, and logging frameworks to maintain high system reliability and perform incident management including root cause analysis within SLAs.
Collaborate with engineering and business teams to ensure data quality, data governance compliance, automate repetitive tasks, and contribute to data-driven engineering initiatives.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Hands-on experience with data pipelines (ETL/ELT tools) and SQL querying.
Experience with cloud platforms, preferably Azure, and monitoring/logging tools such as Azure Monitor, Log Analytics, Grafana, or Splunk.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing and supporting data platform operations and incident resolution with SRE/monitoring practices.
Proficient in technical skills including Databricks, Azure Data Factory, Synapse, SQL Server or Snowflake, and scripting languages like Python or Shell.
Capable of bridging technical and business teams to handle data quality, governance, and continuous improvement through automation and process optimization.