Senior Architect - Data & Analytics

Title : Senior Architect - Data & Analytics

Location : 07110, Nutley, NJ (Onsite)

Duration : 12 months contract (high possibility of extension)

Job Summary

The technology lead will work collaboratively with global EIT leaders and peers, business stakeholders, consultants, technology vendors, and Client managed service providers to deliver successful technical projects that meet complex business requirements providing a cohesive and unified data strategy and implementation.

They are responsible for the co-creation, architecture, design, development, and implementation of the data, analytics, and AI architectures and reference frameworks supporting Client’s global businesses. They will lead and be responsible for participating in the strategic planning and hands-on engineering of solutions and cloud environments that support Client’s advanced analytics, data science, AI, and other data platform initiatives. This will include supporting commercial, R&D, and corporate analysis initiatives as examples as well as the associated personas such as enterprise users, data analysts, and data scientists.

The global technology lead also serves as the big data expert and advisor for global EIT and manages technical teams and projects supporting Client’s growth and strategic business objectives. This role is responsible to present to leadership throughout the lifecycle of associated projects to ensure continued alignment with business initiatives across platforms.

Deep Databricks and Informatica experience required.

Essential Functions

• Inspires, leads, and directs the technical data & analytics teams to promote the capabilities and adoption of business intelligence, analytics, and AI solutions throughout the company.

• Manages, advises, and coaches where appropriate, peers, technical product owners, IT business analysts, data scientists, data architects & engineers, solution architects, and application/report developers regarding the activities of data & analytics across Client.

• Co-creates (designs and implements) enterprise operating models for data and analytics for both global and federated capabilities and how they interact. The goal is an effective, efficient, scalable, and agile model driving value from standardization and reuse of advanced capabilities while supporting regionally relevant flexibility and delivery autonomy.

• Coaches and mentors operational support teams on technical concepts, designs, and system functionality.

• As a technology strategist, they contribute to the Data and Analytics business strategy, while owning the technology enablement strategy, including the execution plan and associated budget planning.

• Works collaboratively across the organization to build the data ingestion, storage and/or virtualization structures needed to support our next generation of data products, self-service analytics, and data democratization initiatives.

• Works iteratively to define a future state technology architecture to support data and analytics (ingestion, integration, storage, consumption, governance, and security).

• Should enable operational efficiency and effectiveness providing governed data democratization as an output.

Requirements

• An undergraduate or postgraduate degree in computer science, information science, management information systems, a related field, or equivalent experience relevant to this position.

• 10 years experience working with structured, semi-structured, and unstructured data.

• 10 years IT domain experience in pharmaceutical industry

• 8 years experience designing and implementing data solutions on Amazon Web Services (AWS), using product offerings such as: Databricks, Informatica, S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift, Neptune, and Kinesis.

• 4 years experience using data management and analysis tools such as Databricks, Informatica, RStudio/Posit, Immuta, and ETL tools like Informatica.

• Strong knowledge of AI data preparation and the tools available as well as their implementation and usage.

• Deeply passionate about learning and innovating using leading edge and next generation solutions in big data engineering, cloud, and open source.

• Sound understanding of various data solution patterns and when to use them. Examples include: ETL/ELT, RDBMS, Data Vault and Data Warehousing techniques, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text-Indexing, Vector, Partitioning, Streaming, and Messaging

• Strong software engineering and object-oriented programming skills with expertise in SQL, Python, Scala, R, and Java; including open-source frameworks/libraries, such as Spark, Airflow and streaming services.

• Strong data architecture, data warehousing, data modeling and data wrangling skills using SQL, Stored Procedures, Oracle, MS SQL Server, PostgreSQL.

• Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, and Cassandra, and Redshift.

• Hands on experience with various Business Intelligence tools such as Tableau and PowerBI

Leadership and Teamwork

• Strong track record of effective cross-functional team collaboration and execution

• Ready to think, behave, and act in an innovative consulting manner to drive the EIT Technology Strategy.

• Effective leadership skills. These include team building, consensus building, the ability to balance team and individual responsibilities and achieving goals through others not directly under the leader's supervision, by working ethically and with integrity.

Communication, Organization, and Issue Resolution Skills

• Excellent interpersonal and communication skills. Influential networker with a collaborative mindset and strong customer-centric focus.

• Ability to plan, organize, prioritize, and work effectively in a fast paced and dynamic environment.

• Proven problem solver who takes ownership and is driven by a strong sense of urgency, timely resolution, and keen attention to detail to execute successfully under time and resource demands.

Information Technology Planning, Analysis, Design, Architecture and Management

• Strong business analysis skills and experience, which include issues resolution and business needs solutioning.

• Familiarity with information management practices, system development life cycle (SDLC) management, IT services management, agile and lean methodologies, infrastructure and operations, Enterprise Architecture (EA), and Information Technology Infrastructure Library (ITIL) frameworks.

• Experience in managing application / system changes in accordance with computer system validation, 21 CFR Part 11 and GxP policies.

Domain Knowledge

• Experience in enabling product development through the use of big data analytics and data science solutions and familiarity of pharma functions and processes.

• Strong technical knowledge of life science production systems that will help weigh trade-offs and evaluate risks when designing for future states.

Client Core Values