Kyowa Kirin, North America is actively seeking a Data Architect for our Commercial OCX Team. The Data Architect will be responsible for orchestrating the comprehensive architecture and management of data across multiple channels that engage healthcar Data Architect, Customer Experience, Director, Architect, Business Operations, Omni, Technology

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to make people smile by delivering breakthroughs where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, Massachusetts, and Ontario.
Summary of Job:
Kyowa Kirin, North America is actively seeking a Data Architect for our Commercial OCX Team. The Data Architect will be responsible for orchestrating the comprehensive architecture and management of data across multiple channels that engage healthcare professionals, patients, and payers. This role involves designing, creating, deploying, and maintaining data architecture to support integrated omnichannel marketing strategies and digital health initiatives. The Data Architect ensures the security, scalability, and reliability of data solutions across digital and traditional platforms, facilitating seamless and personalized customer experiences.
Essential Functions:
<ul>
<li>Design and implement efficient data integration strategies to consolidate data from various sources, including CRM systems, digital marketing platforms, customer interactions, and sales channels, ensuring seamless data flows across the omnichannel landscape.</li>
<li>Develop and maintain robust data models that support the unique needs of omnichannel strategies in the pharmaceutical industry, enabling sophisticated analytics and personalized customer engagement.</li>
<li>Establish and enforce data governance policies and procedures to ensure data integrity, accuracy, and compliance with industry regulations such as HIPAA and GDPR. This includes managing data access rights and auditing data usage.</li>
<li>Act as a technical leader and advisor to cross-functional teams, including marketing, sales, IT, and compliance departments, to ensure alignment of data strategies with business objectives and regulatory standards.</li>
<li>Provide the infrastructure and frameworks necessary for advanced analytics, including machine learning and AI, to enable predictive modeling and data-driven decision-making.</li>
<li>Implement rigorous data security measures to protect sensitive information and customer data, aligning with best practices and regulatory requirements to mitigate risks associated with data breaches and unauthorized access.</li>
<li>Monitor and improve data quality, ensuring that the data used in decision-making processes is accurate, complete, and timely. Develop mechanisms to clean and validate data regularly.</li>
<li>Optimize the performance of data systems to handle high volumes of data efficiently, ensuring that data processing does not become a bottleneck for the organization's omnichannel activities.</li>
<li>Evaluate and recommend new data technologies and tools that can enhance the capabilities of the omnichannel platform, staying ahead of technological advancements to maintain a competitive edge.</li>
<li>Regularly engage with stakeholders to report on data strategy progress and outcomes. Facilitate workshops and training sessions to enhance data literacy across the organization, promoting a culture that values data-driven insights.</li>
<li>Demonstrated ability to think creatively and strategically, to build alliances cross-functionally, and the flexibility to work in a dynamic and fast-paced environment</li>
</ul>
Job Requirements:

The role demands a deep understanding of the pharmaceutical industry's regulatory environment and compliance requirements, alongside proficiency in modern data platforms like Azure and Databricks. The Data Architect is pivotal in driving a data-driven culture, enhancing data literacy among stakeholders, and implementing governance frameworks to maintain data integrity and privacy.

Education
<ul>
<li>Graduate degree in a quantitative discipline (e.g., Engineering, Economic Statistics, Mathematics, Computer Science, Operations Research) required.</li>
</ul>
Experience
<ul>
<li>At least 7-10 years of experience in data architecture with a significant portion spent in the Commercial organization of pharmaceutical or healthcare industry, demonstrating a deep understanding of the unique data challenges and regulatory requirements around OCX and digital engagement.</li>
<li>Proven track record of successful design, implementation, and management of large-scale data architectures and analytics platforms, particularly in supporting omnichannel marketing and digital engagement strategies.</li>
<li>Expertise in key data technologies and platforms such as Microsoft Azure, Databricks, SQL, and familiarity with programming languages like Python or R for data manipulation and analysis.</li>
<li>Experience in leading data-centric projects, managing cross-functional teams, and working collaboratively with stakeholders from IT, marketing, compliance, and business operations to drive data initiatives.</li>
<li>Strong background in developing and enforcing data governance frameworks, ensuring data integrity, security, and compliance with laws like HIPAA, GDPR, or other relevant pharmaceutical regulations.</li>
<li>Demonstrated ability to innovate with data solutions and analytics to meet business needs, along with excellent problem-solving skills to overcome technical and regulatory challenges in data management.</li>
<li>Excellent communication and interpersonal skills, capable of articulating complex data-related concepts to non-technical stakeholders and influencing decision-making processes at higher levels of the organization.</li>
</ul>
Technical Skills
<ul>
<li>Proficiency in data modeling tools such as ER/Studio, Enterprise Architect to create and manage complex data schemas.</li>
<li>Strong knowledge of relational and non-relational database systems, including SQL Server, Oracle, MongoDB, and Cassandra.</li>
<li>Experience with big data technologies like Apache Hadoop, Spark, and Kafka for processing large datasets efficiently.</li>
<li>Expertise in cloud services, especially Microsoft Azure and AWS, for managing scalable and secure data storage and compute resources.</li>
<li>Proficiency in data integration tools such as Informatica, Talend, and Azure Data Factory for building robust data pipelines.</li>
<li>Strong coding skills in SQL and familiarity with programming languages such as Python, R, or Scala for data manipulation and analytics.</li>
<li>Experience with data visualization and business intelligence tools like Power BI, Tableau, or Qlik for developing insights and reporting.</li>
<li>Understanding of machine learning algorithms and artificial intelligence concepts to support advanced analytics initiatives.</li>
</ul>
Non-Technical Skills
The ability to organize, prioritize, meet deadlines, make decisions, and change the course of action quickly. Strong interpersonal and communication skills. A strong work ethic is required. Detail-oriented and excellent follow-through. Has the ability to flex and deal with ambiguity in a dynamic, fast-paced, high-growth environment. Has a passion for personal learning and development to be able to grow with the company. Cultural sensitivity and ability to develop consensus within a multinational organization.
Physical demands: Traditional office environment with prolonged sitting and extensive computer work
Working Conditions: Requires up to 10% domestic travel
KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions
It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law.
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<h5 class="jobSectionHeader">Recruitment & Staffing Agencies</h5>
Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes.
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<h3>Job Description</h3><div>Job Description<div>About ETS: ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. Position Summary:The Data Architect, Senior articulates the overall architectural vision, conceptualizes, and experiments with alternative architectural approaches with respect to strategic design and development of data architecture across IT and the organization. The Data Architect is responsible for how data is collected, stored, processed, integrated, cataloged, modeled, and used to empower product, services, and functions for self-serve business intelligence, advanced analytics, machine learning, and Artificial Intelligence. This role helps data teams follow the envisioned business and technology direction by articulating the architectural vision through the scope and lifespan of data initiatives. Responsibilities:• Articulate and document a data architecture solution vision. • Oversees data architecture designs, business requirements, prototypes, testing, and training. • Develops conceptual, logical, and physical data models, and supports the development of data strategies by building roadmaps and creating processes to meet current and future needs. • Develop data frameworks and scalable approaches to support an evolving data architecture and integration needs that can be leveraged and re-used for new data-driven business products, services, and functions. • Develop and implement cloud data platforms to support product strategy and roadmap, advanced analytics, data science and SQL/NO-SQL datasets to give business, products, and operations a competitive advantage. • Provides recommendations on innovative data platforms, tools and services, and aligns decision-making with the organization's strategic data vision and all standard policies, processes, and procedures. • Manages a repository of documentation related to data architecture standards, protocols, and frameworks, and regularly evaluates for improvement opportunities. • Maintains currency with emerging technologies, leveraging industry knowledge and expertise to drive continuous improvement and innovation efforts in data architecture and related areas (e.g., Application Programming Interfaces (API), Large Language Models (LLMs), Generative AI (GenAI), Microservices, Event-based architectures). • Ensure data architecture and practices comply with relevant industry standards and regulations, such as GDPR, HIPPA, and CCPA. • Establish and enforce data quality standards and practices. • Continuously improve processes, technologies, and platforms to provide best value to business. • Adhere to ethical standards and comply with the laws and regulations applicable to your job function.Knowledge and Skills:• Extensive knowledge of and experience in database development, developing and delivering data architecture solutions and strategies. • Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques. • Extensive knowledge and experience with network architecture, IT Architecture principles, frameworks, methodologies, standards and best practices. • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders and executive audiences. • Proven ability to collaborate effectively with cross-functional teams and stakeholders. • Adaptable and flexible in response to changing business needs and priorities. • Technical Expertise: o Strong expertise in Azure Analysis Services (AAS), Power BI Premium Gen2, Azure Data Factory, Azure Synapse, Data/Delta Lake, Microsoft Fabric, and Data Pipelines. o Proven experience in designing and implementing data solution on the Azure Platform o Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). o Strong knowledge of SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server). o Experience with Pyspark framework building data lake (S3/Iceburg), data warehouse (on Redshift Serverless/Spectrum), EMR (serverless), pipelines & catalogs construction (Glue, Athena) o Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and big data technologies (e.g., Hadoop, Spark). o Understanding of ETL processes and tools (e.g., Python). o Knowledge of data governance, data quality, and data security practices.Education and Experience:• Bachelor's degree in Computer Science or an equivalent combination of education, training, and experience from which comparable knowledge and abilities can be acquired is necessary • 8+ years in information technology, big data, data science, analytics platforms and/or higher education • Minimum 3 years in Data Architecture or relevant field • Or an equivalent combination of education and experience to constitute a similar level of expertise • Bachelor's degree and 6+ years of experience in relevant field OR Master's degree + 4 years of experience in a relevant field #LI-HYBRID#LI-NA1ETS believes in a Total Rewards philosophy for our employees, and they include:<ul><li>Health, Vision, Dental insurance plans to choose from</li><li>Generous continuous learning support, from individual learning grants to up to 6 classes a year for tuition reimbursement as well as on-line learning access!</li><li>Generous PTO and vacation time to balance your work and life</li><li>Additional 8 hours of PTO for volunteer work</li><li>Retirement plan (401(a)) and traditional Roth (403b) with company contribution</li><li>Commuter Benefits, Pet Insurance, 1 year subscription to Calm App</li></ul>ETS is mission driven and action oriented<ul><li> Diversity, equity, inclusion, and belonging is at the forefront of the ETS employee's daily work. To further foster an inclusive environment ETS is home to a wide variety of Affinity groups that celebrate the diversity of our talented employees. </li><li> How about cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders? ETS offers multiple Business Resource Groups (BRG) for you! </li><li> Are you passionate about volunteering and being active in your career and community? ETS offers our Center for Advocacy & Philanthropy (CAAP) where we encourage ETS employees to become active volunteers in their communities and schools through the ETS Cares Giving Campaign. Our employees can support any 501c3 or eligible charity of their choice. </li></ul> ETS is an Equal Opportunity Employer comprised of people with different experiences, strengths, and backgrounds who share a passion for advancing quality and equity in education. We are dedicated to building teams that reflect the various backgrounds, experiences, and identities of those we serve. The Talent Acquisition team strives to ensure candidates enjoy a fair and equitable hiring process. We believe our differences empower us to be a better team, making better decisions and delivering better results. </div></div>

Job Title: Sr. Data Architect Location: Princeton, NJ Type: Full-Time Contract Job Summary: We are seeking an experienced Sr. Data Architect to join our team. The ideal candidate will have a strong foundation in SQL, data integration, and debugging, combined with a client-facing approach. This role will focus on designing and implementing data architecture solutions, providing production support, and ensuring efficient integration of data systems. Key Responsibilities: <ol><li>Design, develop, and implement robust data architecture solutions tailored to business needs. </li><li>Lead data integration projects, ensuring seamless flow of data between systems. </li><li>Provide production support and resolve complex data issues in a timely manner. </li><li>Work closely with stakeholders to understand business requirements and translate them into data solutions. </li><li>Optimize SQL queries, perform database tuning, and ensure high data performance. </li><li>Debug and troubleshoot data-related issues, ensuring minimal downtime and accurate reporting. </li><li>Act as a technical liaison between the development team and clients, offering guidance and support for data-related queries. </li><li>Collaborate with cross-functional teams to ensure smooth project delivery and data integrity. </li><li>Ensure compliance with data governance and security protocols. </li> </ol>Qualifications: <ol><li>Proven experience as a Data Architect or similar role. </li><li>Strong SQL skills, including query optimization and database performance tuning. </li><li>Experience with data integration tools and technologies (e.g., ETL, APIs). </li><li>Hands-on experience in debugging and resolving complex data issues. </li><li>Previous experience in production support for data systems. </li><li>Client-facing experience with the ability to gather requirements and present technical solutions effectively. </li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. </li><li>Strong analytical and problem-solving skills. </li> </ol>Job Types: Full-time, Contract Pay: $55.00 - $75.00 per hour Benefits: <ol><li>401(k) </li><li>Dental insurance </li><li>Health insurance </li> </ol>Experience: <ol><li>SQL: 10 years (Required) </li><li>Data analysis: 10 years (Required) </li><li>Debugging: 10 years (Required) </li><li>Data integration: 8 years (Required) </li><li>Production support: 6 years (Required) </li> </ol>Ability to Commute: <ol><li>Princeton, NJ 08540 (Required) </li> </ol>Work Location: In person #J-18808-Ljbffr

Jobs Bridge Inc is among the fastest growing IT staffing / professional services organization with its own job portal. Jobs Bridge works extremely closely with a large number of IT organizations in the most in-demand technology skill sets.<h3>Job Description</h3>Design, develop and implement big data solutions on both streaming and batch data.<ol><li>Understand business problems and use big data technologies to solve them.</li><li>Learn and develop using the latest and greatest open source and enterprise level big data technologies and platforms.</li><li>Hands-on experience in SPARK using SCALA preferably. Knowledge on Python & Java is a bonus.</li><li>Hands-on experience in AWS (EMR, Elastic Search, Redshift, Dynamo DB) etc (Must!).</li></ol>
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SRP is a big data company located in Princeton, NJ.<h3>Job Description</h3>We are looking for a Big Data Architect who can train our students in Big Data technologies. Training classes will be on weekends or weekday evenings; hence, this is a part-time job that will bring you additional revenue.<h3>Qualifications</h3><ol><li>Must have a few years of hands-on and architectural experience with HDFS, Hadoop, Map Reduce, Hive, Pig, Spark, Impala, Cassandra, Kafka, Yarn, etc.</li><li>Must have worked on Hadoop distributions such as Hortonworks, Cloudera, or similar.</li></ol><h3>Additional Information</h3>All your information will be kept confidential according to EEO guidelines.
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