Lead Solution Architect

Experience: 10-15 Years
Mode: WFO ( 5 Days )
Job Location: Bangalore
Job Type: Full Time
Required Qualifications:

• Master's (or) Bachelor's degree in Computer Science, Engineering, or Information Technology or a related field (or equivalent experience)

• Over all 10 -15 + years of experience required for Solution Architect

• 8+ years of prior experience as a solution architect, preferably in the oil and gas industry or 8+ years of prior experience as a software engineer or similar role. Extensive experience in the oil and gas sector, including knowledge of industry-specific challenges and opportunities

• Technical Expertise: Strong experience should have an in-depth understanding of Azure services and architecture, including IaaS, PaaS, and SaaS solutions. They should be adept at designing and implementing complex cloud infrastructure, ensuring scalability, reliability, and security. Also, strong experience in multi-cloud environments like AWS, GCP and their application migrations and management in O&G specifically

• Advanced Problem-Solving: They must possess strong analytical skills to troubleshoot and resolve high-level technical issues. This includes the ability to perform root cause analysis and implement long-term solutions to prevent recurrence

• Strategic Planning: The architect should be capable of developing strategic plans for cloud adoption and migration, aligning with the organization's goals. They should be able to evaluate and recommend new technologies and approaches to drive continuous improvement

• Communication Skills: Excellent communication skills are essential for translating technical concepts to non-technical stakeholders, facilitating clear and effective discussions between cross-functional teams, and presenting proposals and progress reports to senior management

• Client Engagement: Capable to work closely with clients (internal clients) to understand their business requirements and constraints, ensuring that the cloud solutions designed meet their needs and expectations

• Innovation: With extensive experience, they should be at the forefront of innovation, exploring new cloud technologies and methodologies, and integrating them into the organization's practices to gain competitive advantage

• Leadership and Mentorship: As a seasoned leader, the Senior Solution Architect should set the technical direction and make pivotal decisions that define the organization's cloud strategy, while also serving as a mentor to uplift junior architects and engineers. They must lead by example, inspiring teams through complex initiatives and fostering professional growth by imparting knowledge, best practices, and constructive feedback to nurture the next generation of technical experts
Preferred Qualifications:

• Must have Master's or Bachelor's degree in computer science engineering or information technology or Relevant field

• Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar

• Microsoft AZ900 Certification & AZ 305 Certification

• TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience

• Experience in automation using Python, Gen AI, AI Ops, etc.

• Experience with data integration, data warehousing, and big data technologies

• Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes)

• Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs

• Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks

• Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results

• Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.)

• Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders