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Technical Architect-Big Data Analytics (Remote)

jobright.com, Dallas, Texas, United States, 75215

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Technical Architect-Big Data Analytics (Remote)

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Technical Architect-Big Data Analytics (Remote)

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: JCPenney is a chain of American mid-range department stores, and they are seeking a Technical Architect Big Data Analytics to lead the design and implementation of data analytics solutions using cloud architecture. The role involves providing technical leadership, collaborating with cross-functional teams, and ensuring the continuous evolution of best practices within the development team. Responsibilities: Lead, develop, build and deliver solutions with high impact and cross-portfolio scope, complexity and collaboration with cross-functional teams, both business and technology Identify technical implementation options and issues Play a key role in setting the vision and defining the future Technology architecture. Develop roadmaps of the systems, platforms and/or processes for the company across our Big Data Analytics portfolio. Provide technical leadership and coaching to other engineers and architects across the organization Act as expert and point of contact in cross-portfolio business/technology/domain/architecture area Partner and communicate cross-functionally across the enterprise Provide the highest level of expertise for the specification, design, development, implementation, and support of Analytical solutions (e.g. Datameer, Hive, Spark, Python, Redshift, Tableau, Snowflake, Microstrategy) Explain technical solutions and issues to senior leaders in the company in non-technical, understandable terms Interact with business teams to gather, interpret, and understand their business needs and create design specifications Foster the continuous evolution of best practices within the development team to ensure data quality, standardization, optimization, and consistency Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability. Lead efforts to implement Qualifications: Required: 10+ years of professional experience 6+ years of experience with Big Data technology and analytics Proficient in query languages such as SQL, Hive Proficient in using Big Data tools (e.g., Apache (Spark, NiFi, Sqoop, HBase, HDFS, Spark-SQL, Atlas), NoSQL and relational DBs, Kafka, Datameer) Proficient in API development and consumption, data modeling, preparation, manipulation, loading and optimization, warehousing techniques and technologies Proficient in data preparation and manipulation using Datameer tool Proficient in one or more languages (e.g., PySpark, Python, Scala, Java) Proficient in Hadoop/Hive, Sqoop and Spark Experience with SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment Experience with ETL and ELT data modeling Experience with DataHub, DBT, Great Expectation Experience with data visualization tools like Tableau Experience with continuous software integration, test and deployment Experience with agile software development paradigm (e.g., Scrum, Kanban) Ability to work within a dynamic environment with evolving requirements and capability goals Self-motivated. Capable of working with little or no supervision. Maintains up-to-date knowledge in the appropriate technical areas Company: JCPenney is a chain of American mid-range department stores. Founded in 1902, headquartered in Plano, Texas, USA, team size 10001+ employees, currently Public Company. JCPenney has a track record of offering H1B sponsorships. Seniority level

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Mid-Senior level Employment type

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