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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Architect - **Company:** Tata Consultancy Services Limited - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $110,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Big Data, Cloud Computing, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Apache Oozie, Scrum Methodology, Query Optimization, SQL Databases, Data Streaming, Unstructured Data, Workflow Management Systems, Apache Yarn, Data Lakes, Pyspark, Information Technology, Real Time Data, Apache Kafka, Bitbucket, Data Management, Tez (Software), Jenkins, Databricks - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=148d766f76f49bae ## About the Role Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools - Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms. Experience: Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 10-13 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems. In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads. This role focuses on delivering highly performant, well-governed data platforms that support the bank's mission-critical global markets functions., * 10-13 years of hands-on experience in Big Data engineering. * Expert skills in: o PySpark - dataframe optimizations, partitioning, broadcast strategies, distributed computing. o Kafka - producer/consumer design, schema registry, streaming ETLs. o Hadoop ecosystem - HDFS, YARN, MapReduce/Tez, Oozie/Airflow. o Hive - advanced query tuning, TEZ optimization, partition/bucket management. * Extensive hands-on experience with Databricks Lakehouse, including: o Bronze/Silver/Gold layer modeling o Delta Lake optimizations o Data quality frameworks on Lakehouse o Structured & unstructured data handling * Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting. * Strong SQL knowledge with experience working on massive datasets (TB/PB scale)., Qualifications : BACHELOR OF COMPUTER SCIENCE ## Description Big Data Platform Engineering * Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments. * Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data. * Develop, tune, and manage Hadoop ecosystem components-HDFS, YARN, MapReduce, Tez, Oozie/Airflow. * Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing. Databricks Lakehouse & Delta Framework * Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse. * Apply Delta Lake best practices including: o optimized file management o Z-Ordering o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling * Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers. * Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools. Collaboration, Leadership & Delivery * Collaborate closely with quants, product owners, architects, risk tech, and business users. * Participate in agile ceremonies - sprint planning, refinement, design reviews. * Mentor junior engineers and contribute to building strong engineering practices across tech teams. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)