Global Data Solution Architect

Skills Matrix : bachelors degree

MUST HAVE Databricks and Informaticadeep and prominently featured

AI capabilities

leadership

8 yrs AWS (databricks informatica s3 glue lambda EMR EC2 DynamboDB elasticache Redshift Neptune and Kinesis

data solution patterns : reference at least 5 of these Examples include : ETL / ELT RDBMS Data Vault and Data Warehousing techniques Normalization / Denormalization KeyValue InMemory Wide Column Columnar Graph TextIndexing Vector Partitioning Streaming and Messaging

BI tools like Tableau and Power BI

10 years experience working with structured semistructured and unstructured data.

5 years IT domain experience in pharmaceutical / biotech / medtech industryregulated by FDA

Required :

An undergraduate or postgraduate degree in computer science information science management information systems a related field or equivalent experience relevant.

10 years experience working with structured semistructured 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 / Denormalization KeyValue InMemory Wide Column Columnar Graph TextIndexing Vector Partitioning Streaming and Messaging

Strong software engineering and objectoriented programming skills with expertise in SQL Python Scala R and Java; including opensource 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 crossfunctional 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 leaders 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 customercentric 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 tradeoffs and evaluate risks when designing for future states.

Core Values

Embodies and consistently demonstrates core company values : Quality Teamwork Respect Integrity and Professionalism.

Responsibilities :

Data & Analytics will work to lead multiple initiatives solutions and teams within Global Data & Analytics technology organization.

Reporting directly to the Global Data & Analytics Technology Lead this role contributes to the overall mission of establishing a futureproof architecture and associated IT services supporting data analytics and AI for globally.

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

Responsible for the cocreation architecture design development and implementation of the data analytics and AI architectures and reference frameworks supporting global businesses.

Lead and be responsible for participating in the strategic planning and handson engineering of solutions and cloud environments that support 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.

Global technology lead also serves as the big data expert and advisor for global EIT and manages technical teams and projects supporting growth and strategic business objectives.

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.

Cocreates (designs and implements) enterprise operating models for data and analytics for both global and federated capabilities and how they interact.

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 selfservice 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.

Key Skills

Business Process,VMware,Cloud,HTML5,Windows,Project managements,AWS,Infrastructure,Web Services,JQuery,Java,Computer Engineering,Solutions design,Technical Solutions,Analytics

Employment Type : Full Time

Vacancy : 1