Data Operations Manager SRE Site Reliability Engineering (SRE), Azure Data Factory, Azure Databricks, Azure DevOps, Azure Data Lake Storage, Synapse, Azure CosmosDB, Azure Data Engineering, Big Data Description
GSPANN is hiring a Data Operations Manager with expertise in Site Reliability Engineering. As we march ahead on a tremendous growth trajectory, we seek passionate and talented professionals to join our growing family.
Role and Responsibilities
Lead and sustain a high-performance team that has skills to support production operations.
Build deep knowledge of the business and understand the end-to-end customer journey.
Partner with leaders across the functions to improve the design, visibility, availability, scalability, and performance of services.
Efficiently automate manual processes, deep dive into incidents, and facilitate blameless post mortems.
Improve alert management, decision-making, analysis, error budgeting, and various optimization techniques by measuring data using standardized telemetry.
Build methodologies for tracking reliability and performance issues to give teams an insight into areas of improvement to ensure customer satisfaction and increase product quality.
Evaluate open-source and vendor products, create proof of concepts, and migrate applications to the external cloud.
Adhere to crucial company controls that are necessary to meet internal or external audit requirements.
Contribute to the account and practice growth by working with client partners in identifying new opportunities and resource requirements.
Work with the HR team to attract and retain the right talent and timely fulfill resource needs.
Exhibit inspirational leadership and build a talented, cohesive, result-oriented, healthy team environment.
Drive the governance calls with the technical customers and stakeholders.
Build value-proposition presentations, case studies, and accelerators to assist the Sales team during the pre-sales cycle to address all facets of Managed Services.
Manage technical aspects of data operations - including data pipelines, data integration, and data quality, as well as ensuring that data is being processed and stored efficiently.
Be responsible for managing the infrastructure used to support data operations, such as servers, databases, and cloud services.
Strategize day-to-day operations and lead process improvement initiatives.
Skills and Experience
10+ years of experience in software development, technical operations, and running large-scale applications.
At least 5 years of management experience is mandatory.
5+ years of experience in running shift-based support teams.
5+ years of experience in developing or supporting Azure Data Factory, Azure Databricks, Azure DevOps, Azure Data Lake Storage (ADLS) and Synapse data warehouse, Azure Cosmos database, and Big Data.
Any experience in data virtualization products like Denodo is desirable.
Must have a good understanding of container platforms like Docker and Kubernetes.
Hands-on experience in working with high-volume, mission-critical applications and building messaging and or event-driven architectures.
Expertise in providing engineering solutions for gathering or publishing data and event collection across distributed architectures, automation, monitoring, intelligent alerting, and self-healing.
Must have top-notch consulting or relationship management skills and a deep appreciation of IT tools, techniques, systems, and solutions.
Excellent communication skills along with experience in managing and motivating high-performance teams and individuals
creative problem-solving skills related to teams, project deliverables, and cross-functional issues amidst changing priorities.
Should be flexible and resourceful to swiftly manage the changing operational goals and demands.
Passionate about operational excellence and governance.
Good experience in handling escalations and taking complete responsibility and ownership of all critical issues to get a logical closure.
Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace
