Act as a technical liaison between stakeholders, delivery teams, and support teams to ensure technical alignment of priorities, vision, and execution of work.
Working with vendors to select, test, and implement solutions; ensuring they deliver on requirements and helping overcome obstacles.
Conduct proof of concept in the lab, and trials.
Ownership of a technology roadmap and align it with the overall the business direction
Formulate and socialize team’s deliver plans/roadmaps and prioritize team’s deliveries.
Directly contribute to the hands-on technical delivery alongside product owners and developers as required providing design leadership and strategic advisory.
Drive the team to adopt best practices, implement internal guidelines and have a quality driven approach
Collaborate with teams to present potential technical solutions, clearly understanding the feasibility, benefits, and trade-offs of the proposed solutions
Participate in the ideation of new services, products, features, and solutions.
Identify and recommend areas for further improvements by participating in design sessions, proof of concept initiatives and process improvement decisions.
Critical Qualifications:
The ideal candidate will have a bachelor’s degree, or advanced degree in Computer Science or closely related subject.
4+ years experience in software development and/or architecture.
2+ years building Java/Python data engineering/science projects.
Hands on experience with setting up containerized environments (e.g. Kubernetes, Docker)
Solid knowledge of cloud-based and micro-services architecture
Expert in SQL/NoSQL or other query languages
Knowledge of Linux/Unix and scripting skills.
Objective driven and ability to set the right KPI’s towards value creation
Experience in software and system testing and operations support
Strong leadership and team-building skills, and must be able to collaborate effectively with a group of high performing individuals.
Demonstrated leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation.
Strong inter-personal and communication skills including written, verbal, and technology illustrations.
Additional Preferred Qualifications (nice to have):
Solution Architect and\or Data Engineer Cloud Certifications (GCP, AWS, etc)
2+ years coding in Scala / Spark, Spark Streaming
2+ years building and coding applications using Hadoop components - HDFS, Hive, Trino, Sqoop, Kafka, StreamSets, HBase, etc.
2+ years understanding of traditional ETL tools & Data Warehousing architecture.
Some experience with Infrastructure as Code (Terraform or Anthos)
Experience with predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).
Practical knowledge with DevOps tools and programming/scripting languages such as Python, Bash, PowerShell, Go, Ansible, Git.
Red Hat or Equivalent qualification
Strong experience with Agile / Scrum and DevOps principles, practices and tools