Big Data Solutions Architect Job Description Template
Our company is looking for a Big Data Solutions Architect to join our team.
Responsibilities:
- Defines high-level migration plans to address gaps in current state;
- Delivers technology architecture artifacts, possibly including reference architectures or concepts of operation;
- Understands industry trends and the practical application of existing, new, and emerging technologies;
- Designs and owns governance, assurance, and standards activities for enterprise technology architecture compliance;
- Drives digital innovation and develops roadmaps through new technologies and approaches to fulfill strategic business plans;
- Oversees and facilitates the evaluation, risk assessment, selection, and design of hardware and software technology and product standards;
- Works with business partners to analyze strategy and trends to define the requirements, principles, and models that guide technology decisions;
- Communicates and enforces technology standards with business partners;
- Coaches, mentors, and leads technical subject matters experts to enable and drive consistency across technology architectures;
- Performs other related duties as assigned;
- Build analytics tools that utilize big data pipeline to provide actionable insights (HiveMQ, Kafka, Cassandra, S3, Redshift).
Requirements:
- Bachelor’s degree;
- Experience with big data tools: Hadoop, Spark, Kafka, etc;
- Passion for technology &/or domains;
- Experience with stream-processing systems: Storm, Spark-Streaming, etc;
- Utility Knowledge &/or Expertise;
- Innovations / Patent examples;
- AWS hands on experience and AWS cloud architect or big data certification a plus;
- Experience with implementing disruptive technologies in an organization;
- Experience with relational SQL and NoSQL databases;
- Experience in a start-up&/or entrepreneurial venture;
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue;
- Complex & high volume cloud implementations;
- Technically multi-faceted (web development, network, distributed databases, big data, mobility, etc.);
- Bachelor’s or Equivalent Experience;
- High School Grad / GED.