Senior Big Data Architect - Data Quality & Cloud Platforms

MACHINE LEARNING TECHNOLOGIES LLC; New York (NY); On-site; USD 124,000 - 179,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in New York City, NY. Big Data Technical Architect sought to lead data platform architecture, data quality, and governance initiatives across on-prem and cloud environments.

The role requires 15+ years in software engineering with 5+ years as a Technical Architect/Lead Data Engineer, deep Spark and Hadoop expertise, and strong leadership and SDLC/DevOps experience. Employment options include W-2, 1099, or C2C.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related quantitative field.
• 15+ years of progressive software engineering experience, 5+ years in a Technical Architect/Lead Data Engineer role focused on data quality/governance/platform architecture.
• Expert-level hands-on Big Data ecosystem: Spark (PySpark/Scala/Java), Spark SQL, DataFrames, streaming and performance tuning.

Skills

Apache Spark

Spark SQL

Data governance

Data quality

Hadoop

HDFS

Delta Lake

Apache Iceberg

Apache Kafka

AWS Kinesis

AWS EMR

AWS Glue

Redshift

Databricks

Synapse Analytics

BigQuery

Cloud Storage

Python

SQL

Data automation

SDLC

DevOps

CI/CD

Leadership

Communication

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Tools

Hadoop

HDFS

Delta Lake

Iceberg

Spark

Kafka

Kinesis

EMR

Glue

Redshift

Databricks

Synapse

BigQuery

Cloud Storage

Job description

MACHINE LEARNING TECHNOLOGIES LLC in New York City, NY. Big Data Technical Architect sought to lead data platform architecture, data quality, and governance initiatives across on-prem and cloud environments.

The role requires 15+ years in software engineering with 5+ years as a Technical Architect/Lead Data Engineer, deep Spark and Hadoop expertise, and strong leadership and SDLC/DevOps experience. Employment options include W-2, 1099, or C2C.