Shrive Technologies
Data &Analytics Data Operations Lead
Shrive Technologies, Oakland, California, United States, 94616
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Data & Analytics Data Operations Lead
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Shrive Technologies About the Role
The Data & Analytics Data Operations lead will perform the following: Act as the primary point of contact for D&A Operations, working with business users, data architects, application development teams, data analytics teams, business analytics, product managers, the data governance COE, SRE, and various IT partners. Socialize the Standard Operating Procedure (SOP) for Data & Analytics (D&A) across the enterprise. Implement the SOP in iterations as new Service Level Agreements (SLAs) are established for critical datasets and reports sourced from the Enterprise Data Platform (EDP). Establish the support model process flow with accountable D&A counterparts to ensure the L1, L2, L3 support model has designated resources from each team, with clear understanding of processes and procedures. Manage the on-call rotation, accounting for holidays, PTO, in accordance with enterprise policies. Create requirements for operational reporting, including:
Daily load status (Green/Yellow/Red) with "as of" data load datetime for each critical data asset. Data quality checks (Counts, Key validation, job completion times, etc.). Dashboards for trends and patterns over time. Metrics for changes, incidents, problems, and requests.
Impact and Responsibilities
Build a scalable, modern operational support team that continuously improves. Collaborate with data engineering and architecture teams, troubleshoot data issues, support IT teams, and maintain knowledge of policies and procedures. Qualifications
Bachelor's degree in computer science, Mathematics, Statistics, or related field. 3+ years of experience in data operations, with expertise in Matillion and/or Snowflake. Experience in data profiling, analysis, and Data Quality metrics. Strong SQL skills. Knowledge of IT support practices and disaster recovery. Experience with Agile methodologies. Excellent problem-solving, documentation, and communication skills.
Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at Shrive Technologies by 2x. Note: This job posting appears active, with recent listings and no indication of expiration. #J-18808-Ljbffr
Data & Analytics Data Operations Lead
role at
Shrive Technologies About the Role
The Data & Analytics Data Operations lead will perform the following: Act as the primary point of contact for D&A Operations, working with business users, data architects, application development teams, data analytics teams, business analytics, product managers, the data governance COE, SRE, and various IT partners. Socialize the Standard Operating Procedure (SOP) for Data & Analytics (D&A) across the enterprise. Implement the SOP in iterations as new Service Level Agreements (SLAs) are established for critical datasets and reports sourced from the Enterprise Data Platform (EDP). Establish the support model process flow with accountable D&A counterparts to ensure the L1, L2, L3 support model has designated resources from each team, with clear understanding of processes and procedures. Manage the on-call rotation, accounting for holidays, PTO, in accordance with enterprise policies. Create requirements for operational reporting, including:
Daily load status (Green/Yellow/Red) with "as of" data load datetime for each critical data asset. Data quality checks (Counts, Key validation, job completion times, etc.). Dashboards for trends and patterns over time. Metrics for changes, incidents, problems, and requests.
Impact and Responsibilities
Build a scalable, modern operational support team that continuously improves. Collaborate with data engineering and architecture teams, troubleshoot data issues, support IT teams, and maintain knowledge of policies and procedures. Qualifications
Bachelor's degree in computer science, Mathematics, Statistics, or related field. 3+ years of experience in data operations, with expertise in Matillion and/or Snowflake. Experience in data profiling, analysis, and Data Quality metrics. Strong SQL skills. Knowledge of IT support practices and disaster recovery. Experience with Agile methodologies. Excellent problem-solving, documentation, and communication skills.
Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at Shrive Technologies by 2x. Note: This job posting appears active, with recent listings and no indication of expiration. #J-18808-Ljbffr