What are the responsibilities and job description for the Senior Data Architect position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Avtech Solutions, is seeking the following. Apply via Dice today!
Position: Senior Data Architect
Location: New York City, NY; Chicago, IL; Philadelphia, PA; Richmond, VA; Plano, TX; San Francisco, CA; Boston, MA; Atlanta, GA
Duration: 12 Months
Interview Mode: Skype/ Telephonic / WebEx
Job Description:
We are seeking a visionary Senior Data Architect , in USA, to lead the design and development of a mission-critical, multitenant data platform for a Fortune 100 organization. This is a "ground-up" build, offering the rare opportunity to set the technical direction, select the core stack, and drive architectural standards for a platform that will deliver massive-scale business outcomes.
Key Responsibilities
Position: Senior Data Architect
Location: New York City, NY; Chicago, IL; Philadelphia, PA; Richmond, VA; Plano, TX; San Francisco, CA; Boston, MA; Atlanta, GA
Duration: 12 Months
Interview Mode: Skype/ Telephonic / WebEx
Job Description:
We are seeking a visionary Senior Data Architect , in USA, to lead the design and development of a mission-critical, multitenant data platform for a Fortune 100 organization. This is a "ground-up" build, offering the rare opportunity to set the technical direction, select the core stack, and drive architectural standards for a platform that will deliver massive-scale business outcomes.
Key Responsibilities
- Technical Leadership & Strategy: Take ownership of the architectural roadmap. You will evaluate emerging technologies and make the high-stakes choices that define our multitenant data ecosystem.
- Architectural Design: Conceive and drive the end-to-end design of scalable data pipelines, ensuring security, performance, and multi-user isolation.
- Hands-on Individual Contribution: This is a "player-coach" role. You are expected to be in the code, building core components and solving complex engineering hurdles alongside guiding the team.
- Mentorship: Evangelize technical excellence. You will mentor junior and mid-level engineers, fostering a culture of passion for tech trends and robust implementation.
- Cloud Data Mastery: 5 years of deep experience building modern cloud data platforms specifically leveraging Databricks, Snowflake, or AWS Glue.
- Streaming & Real-Time: Proven hands-on experience with Kafka for real-time data streaming and managing high-velocity, high-volume data ingestion.
- Core Engineering: 10 12 years of professional development experience with a strong command of Python, SQL, and Scala or Java.
- Distributed Systems: Expert-level proficiency in Spark and other distributed computing frameworks.
- AWS Ecosystem: Significant experience architecting within the AWS ecosystem, specifically designing S3-based Lakehouse architecture.