Sr. Databricks Data Engineer, Vice President

Who we are looking for The person in this role will have extensive technical, people and process skillsets that enable us to successfully deliver on this initiative. The position requires a strong background in application architecture and development, a very good understanding of leading IT technologies. The person in this role will be hands-on, will contribute to the development, enhancement and maintenance of platforms as a member of an agile scrum team. This is an opportunity to work within a very strong development team and help to develop challenging new products in the financial space using cutting edge technology. What you will be responsible for As Sr. Databricks Data Engineer you will Design, build and test end to end data pipeline including data ingestion (streaming, events, and batch) on cloud-based infrastructure using Azure, Cosmos DB Develop and implement ETL processes for data ingestion, transformation and loading data into data lakes Work extensively on Databricks and data warehousing concepts Design & develop custom high throughput and configurable frameworks/libraries Ability to drive change through collaboration, influence and demonstration of POCs Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation Work collaboratively within an agile project team Follow best practices and coding standards Grow your personal skillset What we value These skills will help you succeed in this role Experience in micro-services architecture and understanding of Cloud Computing is highly desirable (Azure preferred) Proficient working knowledge on Data Warehousing platforms as Databricks, Delta lake and Apache spark Hands on development experience in Databricks SQL and Scala Strong understanding of Databricks platform including clusters, jobs and other resources Monitor and troubleshoot data pipelines to identify and resolve issue Implement Data quality checks and validations to ensure data accuracy Experience performing data analysis and data exploration Strong hands-on experience in troubleshooting Devops pipelines (ADO and Harness) Experience working in a multi-developer environment, using version control (i.e. Git) Strong critical thinking, communication, and problem-solving skills Experience in handling semi-structured data (Avro, JSON and XML) Basic knowledge on shell scripting, UNIX, TOAD, SQL developer Education & Preferred Qualifications Bachelor’s Degree level qualification in a computer or IT related subject 10+ years of overall Bigdata data pipeline experience 5+ years of Databricks hands on experience 5+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker Experience on Snowflake is plus Additional requirements Communicate effectively in a professional manner both written and orally Team player with a positive attitude enthusiasm initiative and self-motivation Ability to multi-task energetic fast learner & problem solver Experience of working in the financial industry Experience with agile development methodology Work Requirement Onsite 4 days a week in office and one day remote Standard business hours aligned to project and stakeholder needs(8am to 5pm) Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for