Data Architect

Boston, MA

Our client has an exciting opportunity for a Data Architect to join its Data Engineering team in Boston, MA. The team follows a hybrid work structure with four days in the office and one day at home. Our client's Data Engineering team consists of talented Data engineers who design, architect, and build Data Platforms that enable our business functions to make data-driven decisions. The Data Architect will report to the Manager of Data & Analytics, collaborating with cross-functional leadership such as Product Management, Product Development, Marketing, Partnership, and Customer Experience teams. The Data Architect will collaborate with teammates across the organization to deliver high-quality data solutions on schedule by reviewing and understanding the value stream of our client's business and product delivery life cycle. As a Data Architect, you will be responsible for designing, developing, maintaining, monitoring, and extending the data warehouses, data marts, data platforms, and analytics architecture to meet the business objectives that enable stakeholders to make timely and informed decisions using reliable and accurate data. The design and development focus includes, but is not limited to, dimensional data model design, data Integration, metadata management, master data management, data security, data quality, data auditing and profiling, and business intelligence reporting solutions.

Responsibilities:

Design, develop, and optimize enterprise-level reporting, OLAP, and other business intelligence solutions, and cross-train others in the use of the tools.
Architect and design data platform solutions with design artifacts that are sustainable and of high quality to meet functional and non-functional requirements.
Collaborate with multiple business teams to review and prioritize deliverables.
Translate and communicate technical requirements into well-designed solutions that meet the business and technical goals defined by business stakeholders.
Debug and troubleshoot data quality problems using SQL tools.
Hands-on in producing, consuming, and processing structured, semi-structured, and unstructured data formats from a variety of data sources and link services (FTP, API, streaming).
Train, coach, and mentor globally distributed data engineer talent.
Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
Identify, communicate, and mitigate risks, assumptions, issues, and decisions throughout the full lifecycle.
Analyze the latest industry trends such as cloud computing and distributed processing and begin to infer the risks and benefits of their use in business.

Qualifications:

Bachelor’s degree or equivalent experience.
Strong hands-on experience in Azure cloud services such as Azure Data Factory, Databricks, Data Lake, Azure AD, Azure Monitor, Azure SQL, Azure Purview, Azure Analysis Services, Azure DevOps, Synapse, Predictive Analytics & Machine Learning.
Prior hands-on experience in end-to-end CI/CD implementation or DevOps process in Data & Analytics context.
Experience with SSRS, Power BI tools, or other visualization tools such as Tableau and Looker.
Extensive experience in data warehouse reporting and ETL/ELT tools.
Experience in handling technology projects/programs in the Insurance Domain or other financial services preferred.
Experience in coding programming languages such as SQL, Python, Go, PowerShell, Bash, etc.
Strong analytical, problem-solving, and conceptual skills with the ability to work across business areas in a collaborative, open, and flexible mindset.
Strong verbal and written communication skills, with the ability to express business concepts in technical terms and complex technical solutions in simple business terms.
Passionate and professional demeanor that supports a collaborative and team-oriented environment.
Excellent attention to detail.

Setting DRUM apart:

High visibility to key stakeholders at a Fortune 50 organization, ranked consistently as a top 3 global brand
Opportunity to join a high growth start up and make an immediate impact

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Data Architect