Senior Azure Data Engineer/ Consultant

Job Description

Job Description:

About the Company:
Our Company is a leading independent financial services firm offering global family office, wealth management, asset management and strategic advisory to ultra-high-net-worth individuals, families, institutions, and corporations. The firm oversees approximately $85 billion in client assets. Our firm is built upon the 139-year history of excellence in global family office and investment management.

Position:
This position supports the Data platform & application development and works across the team and across each of our businesses to drive programs and strategic initiative execution. Will have prime responsibility in focusing on Entity platform development, architecting, developing solutions, on Azure. A key for success in this role is a unique blend of technical skills and working with and influencing multiple cross functional teams within IT and business on the right solutions.

Responsibilities:
• Design and Develop entity-based Data platform to support Wealth management applications.
• Develop and deliver long-term strategic goals for data architecture vision and standards.
• Create end-to-end vision on how logical design translates to one or more physical databases and how the data will flow through the successive stages.
• Provide solutions in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
• Applying technical knowledge to architect solutions that meet business and IT needsand enable the Data Platform to scale & support all use cases. (e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Analytics, Azure SQL, Cosmos DB, Power BI etc.).
• Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
• Communicate with all stakeholders, project team in a timely manner and escalates issues & Risks.

Qualifications & Required skills:
• More than 6+ years of implementation knowledge of large complex Data platforms.
• At least three years of professional experience in designing and engineering/architecting Data platform (Entity based).
• Expertise in Data Architecture, Data Strategy and implemented large scale end-to-end Data management.
• Expertise in Data Quality, Data profiling.
• Deep understanding of ETL, data ingestion/cleansing and engineering skills.
• Strong problem solving, influencing, communication and presentation skills.
• Technical experience and knowledge, with depth / Subject Matter Expertise in:
o Microsoft Data Platform Cloud solutions.
o Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake.
o Data Engineering including Azure Data Factory and Azure Databricks with experience with Python and T-SQL.
o Relational Databases including Azure SQL, NoSQL Databases including Cosmos DB.