Databricks Architect

Job description

Role : Senior Principal Consultant (Databricks Architect)

In this role, the Databricks Architect is responsible for providing technical direction and lead a group of one or more developer to address a goal.

Responsibilities

• Architect and design solutions to meet functional and non-functional requirements.
• Create and review architecture and solution design artifacts.
• Evangelize re-use through the implementation of shared assets.
• Enforce adherence to architectural standards / principles, global product-specific guidelines, usability design standards, etc.
• Proactively guide engineering methodologies, standards, and leading practices.
• Guidance of engineering staff and reviews of as-built configurations during the construction phase.
• Provide insight and direction on roles and responsibilities required for solution operations.
• Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle.
• Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans.
• Demonstrate strong analytical and technical problem-solving skills.
• Ability to analyze and operate at various levels of abstraction.
• Ability to balance what is strategically right with what is practically realistic.
• Growing the Data Engineering business by helping customers identify opportunities to deliver improved business outcomes, designing and driving the implementation of those solutions.
• Growing & retaining the Data Engineering team with appropriate skills and experience to deliver high quality services to our customers.
• Supporting and developing our people, including learning & development, certification & career development plans
• Providing technical governance and oversight for solution design and implementation
• Should have technical foresight to understand new technology and advancement.
• Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance
• Should have Technical Experience in Azure, AWS & GCP Cloud Data Engineering services and solutions.
• Contributing to Sales & Pre-sales activities including proposals, pursuits, demonstrations, and proof of concept initiatives
• Evangelizing the Data Engineering service offerings to both internal and external stakeholders
• Development of Whitepapers, blogs, webinars and other though leadership material
• Development of Go-to-Market and Service Offering definitions for Data Engineering
• Working with Learning & Development teams to establish appropriate learning & certification paths for their domain.
• Expand the business within existing accounts and help clients, by building and sustaining strategic executive relationships, doubling up as their trusted business technology advisor.
• Position differentiated and custom solutions to clients, based on the market trends, specific needs of the clients and the supporting business cases.
• Build new Data capabilities, solutions, assets, accelerators, and team competencies.
• Manage multiple opportunities through the entire business cycle simultaneously, working with cross-functional teams as necessary.

Qualifications we seek in you!

Minimum qualifications

Preferred qualifications

Demonstrated knowledge of relevant industry trends and standards