Cloud Principal Data Architect

As the Cloud Data Architect, you will play a pivotal role in leading our data analytics initiatives, providing technical advisory, solution, and architecture support to our clients. You will collaborate closely with business and IT technical teams to develop innovative data-driven solutions that address our clients' challenges and drive business outcomes. Also, you will be leveraging your expertise in data analytics and deep understanding of industry-specific challenges, you will collaborate closely with cross-functional teams to develop tailored solutions that drive business growth and innovation.

· Serve as a trusted advisor to clients, providing strategic guidance on leveraging data analytics to drive innovation and outcome driven solutions.

· Conduct in-depth assessments of clients' data infrastructure, analytics capabilities, and business processes.

· Design and oversee the implementation of advanced data analytics solutions tailored to the unique needs of life sciences organizations.

· Collaborate with other technology leads to understand the unique challenges and opportunities faced by clients.

· Develop customized data analytics proposals and solutions aligned with client needs and industry trends.

· Lead client meetings and presentations to articulate the value proposition of our data analytics services.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.

Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence.

5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.

Business User champion who will drive the analytics adoption among the business teams leading from front.

Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud.

Hands on individual with ability to self-explore on market trends and provide POV on how it will have an impact on existing landscapes and suggest recommendations.

Experience in Azure Databricks on Azure is a MUST.

Experience in within a consulting firm or similar environment, with a focus on cloud data analytics in the Manufacturing industry.

Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure).

Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.

Strong technical experience in major BI reporting tools like Power BI, Tableau, ThoughtSpot etc.

Strong ERP knowledge (SAP) in manufacturing, business acumen and ability to translate complex technical concepts into business value.

Excellent communication, presentation, and interpersonal skills.

Proven track record of successfully leading and delivering data analytics projects from conception to completion for fortune clients

Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.