The role Architect, Data & Analytics, play a critical role in steering strategic initiatives within the realm of data and analytics. This role is responsible for providing solution and technology architecture thought leadership to implement enterprise solutions leveraging tools and technologies like Azure Synapse, PowerBI, Databricks, Azure Data Lake, and similar platforms. Responsibilities involve contributing to and executing the organization's data and analytics strategy, managing associated processes, collaborating with cross-functional teams, implementing advanced analytics techniques, and deploying data visualization tools. Staying abreast of industry trends and provide thought leadership in areas such as data and analytics, analytics cloud management, technology leadership, cloud governance, security, and self-service management. Offering guidance and mentorship to fellow data and analytics professionals, fostering their growth and expertise.
What you will do:
- Data & Analytics vision and strategy:
- Execute the organization's analytics strategy, incorporating business continuity, innovation, data & analytics capabilities.
- Align data and analytics goals with overall business objectives and guide the team in achieving strategic outcomes.
- Technology and Architecture:
- Oversee the selection and implementation of data technologies, tools, and platforms.
- Provide guidance on data and analytics architecture & design, ensuring scalability, performance, and alignment with business needs.
- Identify and mitigate risks related to data & analytics landscape and technology implementation. - Ensure data security and privacy measures are in place to protect sensitive information.
- Project Oversight :
- Oversee the planning and execution of data and analytics projects, ensuring they are delivered on time, within scope, and within budget. - Monitor project progress and intervene when necessary to address challenges and mitigate risks.
- Evaluate projects for unsigned contracts or out of scope requests, manage changes to the project scope, project schedule and costs.
- Stakeholder Engagement:
- Collaborate with business leaders and stakeholders to understand their data needs and priorities.
- Communicate the value of data and analytics in influencing decision-making and achieving business goals.
- Vendor Management :
- Evaluate and manage relationships with external data and analytics vendors, ensuring alignment with organizational goals.
- Negotiate contracts and oversee the implementation of third-party solutions when applicable.
What you need:
- Bachelor's Degree from an accredited university in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study required.
- 12 to 18 years of experience and demonstrated knowledge Business Intelligence, Data Warehouse, and data & analytics platforms.  Â
- Solid understanding and knowledge of Azure Analytics ecosystem, Microsoft Fabric, PowerBI, Databricks, Azure Data Lake, and other related technologies.
- Experience developing partnerships with the technical, business, and sales teams utilizing strong communication and team building skills.
- Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings.
- Experience working with business leaders is required.
- Analytics certifications on Azure platform is a plus.