If you're comfortable with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you.Ĭognizant is an Equal Opportunity Employer Minority/Female/Disability/Veteran. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. It encourages lively discussions, inspires thought leadership, and helps us build better solutions for our clients. Our diverse backgrounds offer different perspectives and new ways of thinking. Our strength is built on our ability to work together. * knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark. * Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc, DFunc, Big Query & Big Table * Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby. * Experience with Data Mapping and Modelling * Experience working with both structured and unstructured data sources using cloud analytics (Cloudera, Hadoopo etc.) * Extensive experience working with SQL across a variety of databases * Experience with DWBI modelling framework is highly regarded * Experience with serverless data warehousing concepts on Google Cloud is highly desired * Experience with DataProc & DataFlows with Java on Google Cloud Platform is highly desired * Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory * 2 + years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies The average salary for a Big Data Architect is 145,600 per year (12,130 per month), which is 92,110 (+172) higher than the average salary in the United. * Strong Python Development Experience is mandatory * Provide design expertise with Master Data Management, Data Quality and Meta Data Management. * Support continuous improvement in DevOps Automation * Identify, Implement and continuously enhance the data automation process * Analyse existing systems to identify appropriate data sources * Collaborate with several external vendors to support data acquisition * Collaborate with the business to scope requirements * Develop data and semantic interoperability specifications * Design and Build the necessary infrastructure for optimal ETL from a variety of data sources to be used on GCP services * Design appropriate data models for the use in transactional and big data environments as an input into Machine Learning processing. Participate in the analysis of newest technologies and suggest the optimal solutions which will be best suited for satisfying the current requirements and will simplify the future modifications * Participate in the architectural discussions, perform system analysis which involves a review of the existing systems and operating methodologies. * Developing data ingestion framework for different sources * Responsible and accountable for doing requirement gathering and creation of high level and detailed technical design We practice and guide an approach to architecture that is applicable across industries and organizations, so you'll experience all types of teams, industries and products. We pair, all day, every day because we know it delivers remarkable results. If you are passionate and driven about being involved in shaping next generation digital solutions, give us a shout. We engage clients in envisioning and building creative products and experiences, delivered through a powerful digital-ready IT backbone. In the modern digital economy, our clients are looking to differentiate their businesses and seize the enormous growth opportunities that digital makes possible. See user submitted job responsibilities for Data Architect V.At Cognizant, we believe those who challenge the way they work today will lead the way tomorrow. View full job descriptionĮmployers: Job Description Management Tool To be a Data Architect V typically requires 10+ years of related experience. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. May provide a leadership role for the work group through knowledge in the area of specialization. Goals are generally communicated in "solution" or project goal terms. Typically reports to a supervisor or manager. Additionally, Data Architect V requires a bachelor's degree. May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Being a Data Architect V builds data models and defines the structure, attributes and nomenclature of data elements. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Data Architect V designs and builds databases for data storage or processing.
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