Senior Data Architect

3 days ago

Atlanta, Georgia, United States TechnoGen Full time
Job Title: Senior Data Architect

We are seeking a highly skilled Senior Data Architect to lead our data engineering team in designing and implementing data solutions that empower our organization to derive actionable insights from intricate datasets.

Responsibilities:

* Apply advanced knowledge of data engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization.
* Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
* Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
* Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product/engineering/business.
* Experience building enterprise systems especially using Databricks, Snowflake, and platforms like Azure, AWS, GCP, etc.
* Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.
* Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions.
* Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance.
* Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure.
* Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
* Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets.

Qualifications:

* Bachelor's or master's degree in computer science, engineering, or a related field.
* Proven experience (8+) in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.
* Strong proficiency in SQL, Python, and Spark programming languages.
* Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.
* Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
* Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow, etc.
* Experience in implementing CI/CD pipelines for automating build, test, and deployment processes.
* Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.

Company Overview:

TechnoGen is a leading provider of data engineering solutions, dedicated to empowering organizations to derive actionable insights from intricate datasets. We are committed to delivering high-quality data solutions that meet the evolving needs of our clients.

What We Offer:

* Competitive salary and benefits package
* Opportunities for professional growth and development
* Collaborative and dynamic work environment
* Recognition and rewards for outstanding performance

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