Anblicks · 23 hours ago
Principal Data Engineer
Dallas, TX
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expAnblicks is a company focused on delivering innovative data solutions, and they are seeking a Principal Data Engineer to design and architect scalable data products. The role involves leading the development of high-performance data platforms and managing robust data ingestion and processing pipelines.
RetailFinanceBig DataHealthcareSoftwareAnalyticsFinancial ServicesHealth Care
Responsibilities
Design and Architect scalable data products using Apache spark and Databricks
Architect and lead the design of scalable, secure, and high-performance data platforms using Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Lake Storage
Build and manage robust, real-time data ingestion and processing pipelines using Apache Kafka, enabling low-latency analytics and event-driven applications
Develop complex ETL/ELT workflows using Azure Data Factory, ensuring reliable data transformation, enrichment, and orchestration across cloud-native data services
Integrate diverse internal and external data sources via REST APIs into Azure Data Lake, Databricks, and Snowflake, maintaining high data quality, consistency, and lineage
Implement and optimize Delta Lake architecture for versioned, ACID-compliant data storage within modern lakehouse environments
Lead performance tuning efforts for large-scale distributed computing jobs in Databricks, Spark SQL queries, and Snowflake data warehousing operations
Design and implement data modeling strategies and data governance policies to support enterprise analytics, operational reporting, and advanced AI/ML use cases
Utilize SQL and Python extensively for data analysis, transformation logic, and automation scripts in a unified data engineering workflow
Apply Git-based version control and CI/CD practices to manage codebase integrity, promote collaboration, and support automated deployment of data pipelines
Serve as a strategic advisor on enterprise data architecture, guiding teams on platform scalability, modernization, and best practices in cloud-based data engineering
Work with junior and senior data engineers, facilitate cross-functional collaboration, and stay current on emerging technologies relevant to big data, real-time streaming, and cloud computing
Qualification
Required
Bachelor's degree in Computer Science, Computer Information Systems, Data Engineering, or Engineering related or Technical related fields plus 5 years of progressively responsible post-baccalaureate experience
Foreign degree equivalent is acceptable
In lieu of the above, we will also accept a Master's degree in Computer Science, Computer Information Systems, Data Engineering, or Engineering related or Technical related fields plus 2 years of experience
We will also accept any suitable combination of education, training and/or experience
Experience should include minimum 2 years of working with Databricks, Snowflake, Apache Spark (PySpark), Delta Lake, Apache Kafka, Azure Data Factory, Azure Data Lake Storage, SQL, Python, Git, REST APIs; working on data modeling, and data governance
Company
Anblicks
Unleash your data
501-1000 employees
H1B Sponsorship
Anblicks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (42)
2024 (33)
2023 (32)
2022 (57)
2021 (48)
2020 (61)
Funding
Current Stage
Late StageLeadership Team
A
Amij Patel
Chief Operating Officer
Samir Bhatt
Chief Innovation Officer
Recent News
Company data provided by crunchbase