Big Data Technical Architect

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

Job Description

Job Overview

• Job ID: J52073
• Job Title: Big Data Technical Architect
• Location: New York City, NY
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

• 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, DataFrames/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 Google Cloud Platform (e.g., Dataproc, BigQuery, 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), DevOps 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.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract