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Technical Data Architect at , NY/Tampa, FL - Onsite - Fulltime
Job in
New York, New York County, New York, 10261, USA
Listed on 2025-12-03
Listing for:
Saransh Inc
Full Time
position Listed on 2025-12-03
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Location: New York
Technical Data Architect at New York, NY / Tampa, FL - Onsite - Fulltime Technical Data Architect at New York, NY / Tampa, FL - Onsite - Fulltime
6 days ago Be among the first 25 applicants
Job Title:
Technical Data Architect
Location:
New York, NY / Tampa, FL - Onsite
Only FTE
- Bachelor’s or master’s degree in computer science, Engineering, or a related quantitative field.
- 15+ years of progressive experience in software engineering, with at least 5+ years in a Technical Architect, Lead Data Architect, or Principal Data Engineer role, specifically focused on data quality, data governance, or data platform architecture.
- Exceptional hands-on proficiency and deep architectural understanding of the Big Data ecosystem:
- Apache Spark (PySpark, Scala, or Java):
Expert-level experience with Spark SQL, Data Frames/Datasets, streaming, and advanced performance tuning techniques. - Distributed Storage & Processing:
Hadoop, HDFS, S3, Delta Lake, Apache Iceberg, or similar data lake technologies. - Streaming Technologies:
Apache Kafka, AWS Kinesis, or similar high-throughput messaging systems. - Cloud Data Platforms:
Extensive experience designing and implementing solutions on AWS (e.g., EMR, Glue, Redshift, Lambda, Step Functions, S3), Azure (e.g., Databricks, Synapse Analytics, Data Lake Storage), or GCP (e.g., Dataproc, Big Query, Cloud Storage). - Expert-level hands-on experience with Advanced SQL for complex data analysis, validation, and optimization.
- Expert-level hands-on experience with Python for data engineering, automation, and developing robust data quality solutions.
- Proven track record of defining, designing, and implementing large-scale data automation frameworks.
- Demonstrated expertise in data quality engineering principles, methodologies, and tools (profiling, validation, cleansing, reconciliation, anomaly detection).
- Experience in leading and mentoring technical teams, fostering a culture of technical excellence and continuous improvement.
- Strong understanding of software development lifecycle (SDLC), Dev Ops practices, and integrating quality gates into CI/CD pipelines.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences, including senior leadership and non-technical stakeholders.
- Seniority level
Mid-Senior level
- Employment type
Full-time
- Job function
Information Technology - Industries
IT Services and IT Consulting
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