Minimum Experience: 10 Years We are looking for a Big Data / Cloud Architect to become part of Atgeirs Advanced Data Analytics team. The desired candidate is a Professional with proven track record of working on Big Data and Cloud Platforms. Required Skills: -------------- Work closely with customers, understand customer requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on traditional Data Platforms (Hadoop Based) as well as Modern Data Platforms (Cloud Based). Work alongside customers to build data management platforms using Open Source Technologies as well as Cloud Native services Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with Advanced Analytics Centre of Excellence (CoE) team at Atgeir. Highly technical and analytical with 10 or more years of ETL and analytics systems development and deployment experience Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. Implementation and tuning experience in the Big Data Ecosystem, (such as Hadoop, Spark, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server) and Data Warehouses (such as Redshift, Teradata, etc.) Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with one of the clouds (GCP / Azure / AWS) and/or data cloud platforms (Databricks / Snowflake) Proven hands-on experience with at least one programming language among (Python, Java. Go, Scala) Willingness to work hands-on on the projects Ability to lead and guide large teams Architect level certification on one of the clouds will be an added advantage.

Hands-on experience with SQL and a good understanding of DW / BI concepts Good understanding of ETL/ELT pipelines Should have worked in a technical capacity in the early stages of career. Understanding Big Data / Cloud technologies Excellent knowledge of Scrum techniques and artifacts (such as the definition of done, user stories, automated testing, and backlog refinement) Hands-on experience with one of the Agile tools like JIRA. Should be familiar with all the project phases as defined in PMBOK. Should have proven skills with stakeholder reporting (e.g. Weekly, Monthly Project Reports) Excellent communication and leadership skills (must) Outstanding organizational skills Responsibilities Manage each project s scope and timeline Coordinate sprints, retrospective meetings, and daily stand-ups Coach team members in Agile frameworks Facilitate internal communication and effective collaboration Be the point of contact for external communications (e.g. from customers or stakeholders) Work with product owners to handle backlogs and new requests Resolve conflicts and remove obstacles that occur Help teams implement changes effectively Ensure deliverables are up to quality standards at the end of each sprint Guide development teams to higher scrum maturity

Technical Expertise : Leverage in-depth knowledge and hands-on experience in Big Data and Cloud technologies. Actively contribute to the design, development, and implementation of intricate systems. Leadership: Inspire and lead a team of skilled professionals, providing technical guidance and mentorship. Cultivate a collaborative and innovative environment to ensure the success of projects. Problem Solving: Tackle complex technical challenges with a strategic mindset. Provide innovative solutions and guide the team in overcoming obstacles related to Big Data and Cloud environments. Team Development: Invest in the growth and development of team members, identifying training needs, conducting knowledge-sharing sessions, and fostering a culture of continuous learning. Collaboration: Work closely with stakeholders, including clients, to understand requirements and translate them into technical solutions. Collaborate with architects and other leads to align technology strategies with business goals, particularly in the realm of Big Data and Cloud. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 7-10 years of experience in software development, with a proven track record of technical leadership in Big Data and Cloud environments. Strong proficiency in relevant technologies, frameworks, and programming languages related to Big Data (e.g., Hadoop, Spark) and Cloud platforms (e.g., GCP, AWS, Azure ). Proficiency with Databricks / Snowflake will be an added advantage. Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead and mentor teams, fostering a positive and collaborative work environment.