Principal Engineer, Azure DataOps - Hartford, United States - BlueRock Consulting LLC

Description

Job Description

Job Description

Senior Azure DataOps

Engineer.......Principal

Engineer, Digital Data Development

Hybrid - CT, NJ, NY office options

Our client recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities.

This data should not only be high quality, but also actionable – enabling executive leadership team to maximize benefits and facilitate sustained competitive advantage.

Our Chief Data Office also known as our Innovation, Data & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model – disrupting the insurance market.

This role is part of Digital Data Dev Division within Digital Transformation vertical of IDA and will be responsible for close collaboration with Project Managers, Developers, Testers, Product Managers, DevOps engineers towards ensuring an optimized Build & Release management life cycle and services.

The role will also require continuous enhancements, adaptation and thought leadership in this space for evolving Data Products and the dependent technical and infrastructure ecosystem.

What will your essential responsibilities include:

• Develop and enhance strategies and governance for Data solutions rollout for multiple portfolios / workstreams / Product teams
• Provide technical, thought and implementation leadership for Release automation in Cloud environment through

DevOps/DevSecOps/DataOps

practices.

• Engage with Data Product Owners, Delivery leads, and Product Teams for detailed planning and ensuring requirements are properly captured and tracked through the Build & Release life cycle for Data Products and supporting

Cloud/Infrastructure

environments.

• Implement and manage Data solutions rollout processes for code, tools and related artifacts through Development, Test, UAT, Staging and Production Environments
• Analyze and mitigate risk pertaining to solution delivery timelines, quality, stability, and performance.
• Collaborate with relevant IDA Divisions on optimizing data operational processes to continuously improve and shift left for early detection of issues/challenges in Data Solution lifecycle.
• Adopt best practices and standards to capture Data Solution (including Data pipelines) and Axiom Platform performance indicators and develop feedback loops for IDA Product Teams. Lead and collaborate on remediations (through

automation/tools/process

enhancements)

• Plan and forecast demands based on product needs for Cloud Platform resources and identify opportunities for greater

efficiency/productivity

across environments.

• Optimize & manage Production & Non-Production environments, highlighting potential risks with proposed solutions and/or implementations
• Support for Data pipeline and DataOps in cloud and big data environment. Develop process optimization using operational metrics.
• Participate in efforts to identify root cause analysis for production, non-production, environment and process issues and deliver solutions
• Work in the "Follow the sun" support model
• Ensure documentation and auditability of Build/Release function and processes
• Work with various infrastructure teams to implement automated recovery steps or preventative measures
• Achieve & maintain highest business customer confidence and net promoter score (NPS)

You will report to the Division Lead, Digital Data Development.
We're looking for someone who has these abilities and skills:

• A minimum of an Undergraduate University Degree in Computer Science or related fields with several years of experience.
• Extensive Cloud Platform experience with one or more Public Clouds (Azure / AWS / GCP). MS Azure background and experience a plus.
• Experience in developing and maintaining build platforms, packaging, deployment, testing, and releases
• Experience in managing source code, change control, configuration management, and build deployment activities
• Data engineering background with ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT)
• Experience in systems integration, and developer support tools GITHUB, CICD / Harness, Release management, and configuration management, Python.
• Proficiency in Microservices, Web Services, Web Applications
• Experience in UI design/front-end development a plus
• Experience working in AGILE Development environment.
• Experience in performance management (APM) tools, Query Performance analysis.
• Outstanding analytical and problem-solving skills
• Outstanding interpersonal skills and relationship building and able to liaise with staff at all levels in the organization
• Excellent writing skills, with the ability to create clear requirements, specifications, and documentation for data systems
• Experience leading small teams and delivery with a mix of onshore/offshore developers a plus.

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