Sr. Data Analytics Engineer (Azure)

Job Summary:

The Senior Data Analytics Engineer is responsible for designing, developing, and maintaining advanced data analytics solutions to support business decision-making processes. This role focuses on leveraging extensive experience in PowerBI or other analytics tools to transform complex data sets into actionable insights. The Senior Data Analytics Engineer collaborates with cross-functional teams to understand business requirements and translates them into technical specifications. This position plays a critical role in enhancing data-driven strategies and ensuring the integrity and accuracy of data analytics solutions. This role, in collaboration with other data engineers, data architects, and other IT teams, will operationalize and document data extraction and ingestion platforms, including Databricks, Microsoft Fabric, and Azure Data Factory. This role will provide guidance and mentorship to junior data engineers.

Job Duties:

• Leads the development of medallion architecture using Microsoft PowerBI and Fabric
• Uses tools such as Azure Databricks, Azure Data Factory, and others to extract, transform, and load data into the various layers of our data ecosystem 
• Works with the data governance team and data architects to define and design data solutions to support the Firm’s data initiatives
• Understands and locates where data assets exist within the Firm’s systems and designs solutions integrating disparate data sources to solve problems and provide business value
• Collaborates with project managers to provide effort estimates and provides technical leadership in solution design and requirements
• Prepares mock-up solution designs, visualizations, and reports to effectively demonstrate proposed solutions and deliverables
• Acts as a subject matter expert, evangelist, and catalyst to educate on the Firm’s data platforms and best practices as they relate to the usage and hygiene of the Firm’s data assets
• Meets regularly with line of business customers to gain a better understanding of their business processes and of the customer's evolving data needs in order to identify potential data-related projects
• Works with data scientists and developers to use emerging and advanced technologies such as artificial intelligence and machine learning to identify and extrapolate hidden patterns and trends, increasing the value of the Firm’s data
• Builds and maintains constructive working relationships with project team members, vendors and other departments involved with projects, systems, and IT strategies
• Ensures data governance principles are followed through the course of day-to-day data usage and solution design
• Identifies and executes continuous improvement efforts to ensure the Firm’s data remains accurate and timely
• Works closely with the Information Security and Compliance teams to ensure the firm’s data strategy and technologies meet or exceed both internal policies and external regulatory requirements
• Collaborates with BDO Global and other BDO member firms to ensure standards between organizations are followed in support of reusable models and rapid deployment of shared technology
• Understands and follows Project Management basics and Project Management Office policies and procedures
• Other duties as required

Supervisory Responsibilities:

• N/A

Qualifications, Knowledge, Skills, and Abilities:

Education

• High School Diploma or GED, required
• Bachelor’s Degree in Computer Science, Information Management, Mathematics, or Statistics, preferred

Experience

• Five (5) or more years working as a data engineer, data analyst or in similar analyst roles, required
• Five (5) or more years working with PowerBI, Tableau or similar data visualization products, required
• Demonstrable proficiency in developing and understanding custom and ad-hoc SQL queries, required
• Three (3) or more years using a modern scripting language such as Python, Scala, R, or JavaScript, required
• Experience using version control tools (Azure DevOps, GitHub), required
• Three (3) or more years working within commercial cloud platforms such as Microsoft Azure, AWS, or GCP, preferred
• Experience working within a large, comple