Senior Data Architect

GlaxoSmithKline • Cambridge, MA

76d • $138,600 - $231,000

About The Position

The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:​ Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”​ Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent​ Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. The Onyx Data Architecture team sits within the Data Engineering team, which is responsible for the design, delivery, support, and maintenance of industrialized automated end to end data services and pipelines. They apply standardized data models and mapping to ensure data is accessible for end users in end-to-end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structured and unstructured data in line with Product requirements.

Requirements

• Bachelor's degree in computer science, engineering, Data Science or similar discipline
• 7+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R D
• 5+ years' experience of defining architecture standards, patterns on Big Data platforms
• 5+ years' experience with data warehouse, data lake, and enterprise big data platforms
• 5+ years' experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale
• 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)

Nice To Haves

• 5+ years of pharmaceutical, healthcare or other relevant experience, advanced degree preferred
• Experience with the Azure or GCP data and analytics stack: Spark, Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Dataflow, Dataproc etc.
• Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, StreamSets, etc.
• Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.
• Experience applying CI/CD principles and processes to data solutions
• Highly innovative mind-set and experience with analytics in a healthcare or CPG company
• Experience using Spark and/or Databricks to solve data science and machine learning business problems
• Experience in applying Metadata, Data Security and Data Quality standards to build interoperable data products
• Experience in building domain driven contextual data products to enable decision support across multiple products and assets to drive results
• Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations
• Ability to develop and maintain productive working relationships with suppliers and specialist technology providers
• Superior communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels

Responsibilities

• Collaborating with Data Platform Teams, Data Engineers, and Architects to build, maintain and govern data architecture principles, standards, and guidelines
• Producing conceptual, logical, and physical data models to build fit for purpose data products
• Define various data pipeline architecture patterns aligned with DataMesh/Data Fabric architecture on Target platforms
• Partner and work with Data Engineers, Data Testers, Architects, AI/ML Specialists to drive the Data and Analytics strategy
• Building data architecture spanning different business areas and drawing links between problems to build common solutions
• Collaborating with different business areas and stakeholders to ensure consistent implementation of Data Architecture principles/standards across Target platforms
• Designing data architecture aligned with Enterprise-wide standards and principles to promote interoperability
• Adopting a security-first design that embeds robust authentication, hardened infrastructure and resilient connectivity across the Data and data platform environments
• Providing leadership to team members to help others get the job done right
• Supporting engineering teams in the adoption and creation of data Mesh best practices
• Maintaining best practices for data architecture on our Confluence site
• Pro-actively engaging in experimentation and innovation to drive relentless improvement
• Providing leadership, Subject Matter, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors

Benefits

• health care and other insurance benefits (for employee and family)
• retirement benefits
• paid holidays
• vacation
• paid caregiver/parental and medical leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree