Technical Architect-Big Data Analytics; Remote

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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), No

SQL 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 Data Hub, 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 sponsor ships.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Industries Software…