Senior 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
13+ Years of experience in IT Industry and applicant should have hands on experience in 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
Excellent technical architecture skills, enabling the creation of future-proof, complex global solutions.
Excellent interpersonal communication and organizational skills are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.
Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside of the immediate technical team.
Knowledge and experience in IT methodologies and life cycles that will be used.
Familiar with solution implementation/management, service/operations management, etc.
Leadership skills can inspire others and persuade.
Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.
Bachelor's Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience
Experience in a solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS, and SaaS platforms.
Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.
Must have strong hands-on experience on various cloud services like ADF/Lambda, ADLS/S3, Security, Monitoring, Governance
Must have experience to design platform on Databricks.
3+ years of hands-on Experience to design and build

Databricks

based solution on any cloud platform.
1+ year of hands-on experience to design and build solution powered by

DBT

models and integrate with databricks.
Must be very good designing End-to-End solution on cloud platform.
Must have good knowledge of Data Engineering concept and related services of cloud.

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