Solution Architect - Anywhere in India/Multiple Locations - Orion Innovation

Description

• Team Leadership: Lead and manage a diverse team of engineers (Data, Application, DevOps, and QA Engineers), providing guidance, mentoring, and support to ensure high performance and continuous improvement.
• Engineering Delivery: Drive the successful delivery of data platform components and services, ensuring adherence to timelines, quality standards, and stakeholder expectations.
• Technical Expertise: Provide technical leadership and expertise to develop data platform in data engineering, application engineering, DeOps and QA Engineering.
• Stakeholder Management: Collaborate with a variety of stakeholders, such as product managers and architects to understand requirements, align priorities, and ensure smooth execution.
• Team Development: Identify individual and team training needs, implement learning initiatives, and foster a culture of knowledge sharing and professional growth.
• Process Improvement: Continuously improve development standards, processes, methodologies, and tools to enhance team efficiency and effectiveness.
• Risk Management: Identify and mitigate risks associated with data platform development, ensuring compliance with security, data privacy, and regulatory standards.
• Innovation and Adoption: Stay up to date with emerging technologies, industry trends, and best practices in engineering, and apply them to drive Skills Required:
• Expert in leading a product engineering team to develop an enterprise scale data platform
• Expert in Big Data technologies such as Data Lake, Data Warehouse, Lakehouse, Data Mesh Architecture, Data Fabric etc
• Experienced in various data lifecycle stages like Extraction, Ingestion, Data Quality, Transformation, Storage, Consumption Meachanisms, Governance etc.
• Expert in Microsoft Big Data stack, Synapse, Azure Databricks, Azure Data Lake Store, Azure EventHub, Azure Stream Analytics, Kubernetes, API management, APIs and Frontend technologies
• Experience in data governance tools such as Immuta, Collibra, Microsoft Purview etc.
• Experience of Master Data management (MDM), Metadata Management, Data Visualisation and Data Governance (DG).
• Broad understanding of various emerging data and analytics related tools and technologies.
• Experience in enterprise grade Platform development
• Experience in working with SAFe Agile methodology
• Understanding of CI/CD automation and self service provisioning
• Understanding of Microservice based architecture
• Understanding of APIs and Frondend web development technologies

• Demonstrated experience working with a large globally distributed team, across cultures and time zones
• Demonstrated ability to quickly grasp new technologies and embed in engineering execution
• Should be able to adapt to constantly evolving requirements and priorities
• Creative problem solving skills

• 12+ years of demonstrable engineering experience
• 10+ years of technology product and/or platform development experience
• 10+ years of data domain industry experience
• 10+ year of experience in managing a team of architects and engineers with a global presence.
• 10+ years of experience in an SAFe Agile base delivery methodology
• 5+ years of experience in performing analysis and design for Data Management and Data Driven projects.
• 5+ years of experience in driving complex Data Pipeline solutions and architectures.
• 5+ years of experience in driving Metadata architecture and Master Data Management Solutions.

• A computer science graduate or equivalent degree.
• Micorost Azure certifications for fundamentals, Data engineering and Developer areas
• Databricks certification preferred