Haystack
← Back to Jobs
Technology

Big Data Technical Architect

KK AssociatesNew York, NY🇺🇸United StatesPosted 6 Jul 2026

Why This Role Stands Out

This Big Data Technical Architect role offers a fantastic opportunity to shape cutting-edge data solutions and mentor a talented team within a reputable company, with the flexibility of a hybrid work model. If you possess deep expertise in the Big Data ecosystem and a passion for data quality and platform architecture, you'll thrive by driving significant technical impact and advancing your career. Apply today to leverage your extensive experience and make a real difference!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

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.

Skills

SQL
Scala
AWS
Apache
Apache Spark
Azure
BigQuery
Databricks
Google Cloud
Hadoop
Java
Kafka
Python
Redshift

Similar jobs

Browse related jobs

Apply now