Senior Cloud Data Engineer

BMC Software

3d•$89,500 - $130,000

About The Position

The Sr. Cloud Engineer is responsible for the design and management of cloud-based systems on behalf of BMC. This role collaborates with cross-functional teams to identify appropriate solutions, implement system modifications, and ensure alignment with organizational needs and objectives. The position designs, implements, and manages cloud-based data solutions, including the movement of data between on-premises and cloud environments. It is responsible for optimizing data storage and ensuring data security and compliance within established standards and requirements. The role operates with limited supervision and contributes to the reliability, scalability, and performance of cloud systems that support data-driven business operations across the organization.

Requirements

Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of Five (5) or more years of experience in data engineering or related roles, or an equivalent combination of education and experience.
Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Knowledge of data warehousing and big data technologies (e.g., Hadoop, Spark).
Understanding of data modeling and database design principles.
Ability to design and document end-to-end processes, including steps, dependencies, systems of record, and roles of involved parties.
Strong analytical, oral, and written communication skills, with the ability to interact across all levels of the organization.
Proficiency in Microsoft Office products.
Strong attention to detail, with excellent proofreading and editing skills.
Proficiency in programming languages such as Python, SQL, or Java.

Nice To Haves

Master's degree in Computer Science, Information Technology, or a related field
Epic Clarity and Caboodle Data Models, Microsoft Fabric or Amazon S3 and Redshift

Responsibilities

Builds data pipelines and scalable data processing systems in cloud environments.
Designs, constructs, and tests data lakes, data warehouses, data lake houses, and databases.
Designs and implements data pipelines using cloud-native tools and services.
Develops ETL (Extract, Transform, Load) processes for data ingestion and transformation.
Writes and optimizes SQL and Python queries for data retrieval and analysis.
Optimizes data workflows to improve performance and efficiency.
Collaborates with leadership, analysts, Research, and cross-functional teams to define data requirements and reporting needs across departments.
Implements data solutions aligned with business and technical requirements; applies data governance, access controls, security, and compliance standards; and provides system troubleshooting and support.