Big Data Technical Architect

Quantum Technologies. LLC; New York, Northern (NY, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies LLC seeks a senior data/technical architect to design and implement large-scale data quality and governance platforms. You will lead architecture decisions across cloud data services, Spark-based pipelines, and data lake technologies while guiding engineering teams to deliver robust, scalable solutions.

The role requires hands-on expertise in Spark, SQL, Python, and distributed storage technologies, with the ability to communicate complex concepts to senior leadership.

Qualifications

• Bachelor's or Master's in CS/Engineering or related quantitative field.
• 15+ years of progressive software engineering with 5+ years in architect/lead roles focusing on data quality, governance, or data platform architecture.
• Expert-level Big Data: Spark (PySpark/Scala/Java), Spark SQL, DataFrames, streaming, and performance tuning.
• Proficient with Hadoop/HDFS, S3, Delta Lake, Iceberg, and streaming systems like Kafka/Kinesis.
• Cloud experience on AWS/Azure/GCP with data services; SQL and Python for data engineering.
• Strong SDLC/DevOps understanding; ability to embed quality gates in CI/CD; leadership experience.

Skills

Big Data architecture

Spark (PySpark/Scala/Java)

Advanced SQL

Python for data engineering

Data quality engineering

Data governance

Data platform architecture

Cloud data platforms

SDLC & DevOps

Leadership & mentoring

Education

Bachelor's or Master's degree in CS/Engineering or related quantitative field

Tools

Hadoop/HDFS

S3 / Cloud Storage

Delta Lake

Apache Iceberg

Apache Kafka

AWS Kinesis

Databricks

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.

QUANTUM 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. QUANTUM 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 QUANTUM 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