Databricks Solution Architect Job Description
The successful candidate will be responsible for leading the practice’s ambitious growth initiative with our most strategic cloud partners. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful. This role requires a domain expertise combined with the ability to task-organize, focus on the details, and sustain and drive progress over time.
For the right candidate, this role offers an opportunity to contribute to rapid revenue growth in one of the most exciting and dynamic segments of the market. This is an ideal opportunity for technologists seeking cross vertical and/or cross industry expertise. Among other career-enhancing considerations, this role provides opportunities to directly and indirectly manage teams.
The entire AIA leadership team is personally committed to the success of the architects on-boarded through this focused cloud hiring initiative.
Principal Responsibilities
- Lead joint solution architecture discussions with customer architects/stakeholders and support development
- Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement data platforms, multi-cloud , cloud data warehouse with primary focus on Databricks
- Independently lead client design workshops and provide tradeoffs and recommendations
- Contribute to the Cognizant Data community by developing assets, thought leadership, etc.
- Craft and manage solution/technical architecture for large scale data modernization and cloud data migration initiatives
- Drive turnkey proposals for data platforms, analytics, built cost summaries, value propositions as part of cloud modernization, data portfolio rationalization
Technical Qualifications
- Preferred cloud competencies:
· Deeper Solution Architect skills in Databricks with deeper exposure to one of the clouds – AWS, Azure, GCP
· Aware of PaaS services relating to Data, Analytics and end-point API interfaces - EMR/Dataproc/Snowflake etc.
· Able to compare and contrast between best of technologies by layer – e.g, stream processing, messaging, search, etc.
· High-level awareness of other partner technologies, which are alternative to native services like Snowflake, Cloudera, Talend, Informatica, Confluent, etc.
· Exposure to native cloud data engineering technologies like AWS Glue, ADF, GCP datafusion, Bigquery etc
Key competencies
· Excellent consulting, communication, influencing and facilitation skills, in particular problem solving/troubleshooting activities.
· Lead key data architecture decisions, design of architectural roadmaps, database, data access and data technology architectures
· Provide expertise on the overall data eco-system’s engineering best practices, standards, architectural approaches, and complex technical resolutions
· Holistic knowledge of solution architecture, including:
× Data layers and purpose
× Serverless compute
× Processing run time – ETL vs Spark run time, etc.
× Security controls around authentication, authorizations, encryption and certificates
× Recommend the migration tools and design data migration strategy
× Metadata and data catalogs
Excellent communication skills, preparing presentations, executive readouts
Key Experience
Successfully built and defended solution architecture with different levels of technical stakeholders – Business heads, enterprise architects, tech leads, etc.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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