Senior Business Data Solutions Architect

We are a leading organization committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business.

Our goal is to help you step up and achieve your full potential. When colleagues are healthy, respected, and meaningfully challenged, we all thrive.

Discover how you can grow your career, make an impact, and drive real change in a supportive and collaborative workplace with great benefits, strong culture, and clear career development.

Here are some of the reasons why you'll love working with us:

• Competitive salary package
• HMO on the first day with free dependents
• Retirement benefits
• Merit Increase
• Performance Bonus
• Global network of industry experts
• Extensive training resources

Work Arrangement: Hybrid Work Set-Up Schedule: Rotating shift

Job Summary We are on a journey to become a customer-centered digital leader. We are looking for a motivated professional who can deliver on our strategic priorities, passionate about customers, and excited to see the successful implementation of projects/products they deliver.

The Senior Data Engineer is responsible for the design, building, and maintenance of data solutions (e.g., data infrastructure, pipelines) for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately. Drives design and implementation of specific data models, promotes effective use of data querying APIs, deploys machine learning models, and ensures consistent data flow through the organization.

Key Responsibilities include:

• Hands-on data engineering and technical oversight in the development of batch and real-time data pipelines, DevOps pipelines, and end-to-end processes supporting data ingestion, curation, virtualization, and delivery at scale leveraging Microsoft Azure Data & Analytics PaaS Services.
• Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
• Translate business requirements to technical solutions working with development teams, architects, and business analysts conformant to enterprise standards, architecture, and technologies.
• Delivery of modernization of enterprise data solutions using Azure cloud data technologies.
• Design and Build Modern Data Pipelines and Data Streams.
• Design and Build Data Service APIs.
• Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
• Expose data to end-users using PowerBI, Azure API Apps, or any other modern visualization platform or experience.
• Mentoring other staff members and proven track record in knowledge transfer to other team members and departments.
• Identifies opportunities for new architectural initiatives and makes recommendations on increasing scalability and robustness of platforms and solutions.

Qualifications include:

• 10+ years of professional experience with designing and development of data warehouses and ETL tools and technologies.
• Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
• Expert level understanding of Azure Data Lake, Azure SQL databases, Azure Data Factory, and Azure Databricks is required.
• Hands-on experience designing and developing scripts for ETL processes and automation in Azure Data Factory, Azure Databricks, and Pyspark.
• Experience preparing data for use in Data Science/Advanced Analytics using Azure ML.
• Experienced with the Hadoop ecosystem and toolset – HDFS, MapReduce, Spark, Python, Scala, Hive, and Oozie.
• Experience with CI/CD tools such as GitHub, Jenkins, and Azure DevOps to configure and build CI/CD pipelines.
• Knowledge of BI tools such as PowerBI.
• Strong interpersonal, written, and oral communication skills.
• Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative workplace.
• Self-reliant and comfortable with a rapidly changing environment.
• Customer service orientation.
• Ability to assimilate new skills to support.
• Ability to adapt to new service needs as they arise.

Equal Opportunity Employer At [Company Name], we embrace our diversity. We strive to attract, develop, and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.

A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.

[Company Name] is a global shared service center providing administrative, finance, investments, contact center, information technology, underwriting, actuarial, and marketing services to Manulife and John Hancock companies around the world.