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Databricks Architect

vor 2 Wochen


Melbourne, Österreich Cognizant Vollzeit

At Cognizant, we're at the forefront of technological innovation, and we're on the hunt for top talent to join our growing Data & AI practice.
As a Databricks Consulting Architect, you will be a transformative technical leader in our Data & AI practice, driving innovation and excellence in data engineering and cloud solutions.
This senior role demands a visionary approach to solving complex business challenges through cutting-edge Databricks technologies.
You will be responsible for elevating our practice's technical capabilities, establishing thought leadership, and creating breakthrough solutions for enterprise clients.The Databricks Consulting Architect is responsible for: Serve as the technical visionary and strategic leader for Databricks implementations across our consulting practice Collaborate closely with product teams at Databricks and cloud providers to drive innovation Develop and drive advanced data engineering strategies leveraging Databricks platform capabilities Lead complex, large-scale Databricks transformation initiatives for enterprise clients Understanding customer objectives, goals and challenges to design innovative solutions Create and evangelize innovative architectural patterns and reusable solution frameworks Mentor and develop a high-performing team of data engineering professionals Provide thought leadership through technical publications, conference speaking, and industry engagement Design and implement advanced data solutions using Databricks, focusing on scalability, performance, and business value Act as the primary technical expert and escalation point for complex Databricks challenges Representing Cognizant in industry forums and meetupsMentoring junior engineers and foster knowledge sharing within the teamAbout you (skills/experience):Technology Consulting involves exciting, fast-paced work, dealing with a variety of stakeholders, clients, and consultants.
You need to be someone that can deal with ambiguity, thrive on change, and manage your own time effectively.
We want someone that genuinely focuses on client outcomes, with a high degree of integrity.
At Cognizant we value consultants that have a high IQ, enjoy problem solving, a willingness to serve.
You will need to be confident presenting to both business and technology stakeholders, leading cross functional geographically dispersed teams, and have strong negotiating and collaboration for outcomes skills.
Above all, you should have a positive attitude, and enjoy working with consultants from a diverse range of backgrounds, on a variety of fast paced engagements.
The ideal candidate will have a passion for helping customers solve problems, a strong foundation in data engineering and a deep understanding of the databricks platform.
Your past experience should include: 7-10 years of progressive experience in data engineering, with deep expertise in Databricks platform Advanced certifications in Databricks, Azure, and/or AWS data technologies Mastery of Databricks core components like DataFrames, Datasets, Spark SQL, Delta Lake, Databricks Notebook, DBFS, and Databricks Connect.
Expert-level proficiency in Databricks core components (Delta Lake, Spark SQL, DataFrames) Advanced data architecture and platform design Machine learning pipelines and data engineering frameworks Strong track record of designing and implementing enterprise-scale data platforms Proven ability to translate complex technical concepts for business leadership Demonstrated success in developing innovative data solutions that drive measurable business outcomes Strong understanding of data architecture principles, including data modelling, ETL processes, data governance, data quality, privacy and security controls.
Excellent communication skills: Strong written and verbal communication skills to effectively collaborate with team members and stakeholders.
Familiarity with AWS or Azure for deploying and optimising Databricks environments.
Additional skills which would be highly desirable: Expertise in machine learning pipelines, Spark Streaming, Databricks AutoML, Delta Live Tables, Databricks Unity Catalog, and Databricks Serverless Computing.Designing and implementing DataOps & Data Mesh aligned frameworks to optimise data platforms for cost, value, flexibility and efficiency.Our Benefits:Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:You can pursue innovative career tracks and opportunities hereYou can enhance your professional development through education and dedicated trainingWe'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact.
Cognizant (Nasdaq: CTSH) engineers modern businesses.
We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world.
Together, we're improving everyday life.
See how at www.cognizant.com or @cognizant.