Big Data Technical Architect

Cloud Analytics Technologies, LLC; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

A technology solutions provider in New York seeks an experienced Technical Architect/Data Engineer to lead data quality and governance initiatives. The ideal candidate has 15+ years in software engineering and is proficient in Big Data technologies like Apache Spark, SQL, and cloud platforms such as AWS. Excellent communication skills are required to convey complex technical concepts to diverse audiences. Enjoy a challenging role fostering a culture of excellence and innovation.

Qualifications

• 15+ years of progressive experience in software engineering, including 5+ years in a Technical Architect/Data Engineer role.
• Extensive hands-on experience with Big Data ecosystem technologies.
• Expert-level understanding of data automation frameworks and data quality principles.

Skills

Apache Spark (PySpark, Scala, or Java)

Advanced SQL

Python

Data governance

Data quality engineering

Cloud platforms (AWS, Azure, Google Cloud)

Communication skills

Education

Bachelor's or master's degree in computer science or related field

Tools

Apache Kafka

Hadoop

AWS Glue

Azure Databricks

Google BigQuery

Job description

Qualifications

• 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.

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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.