About the company:
Biocon Biologics is a subsidiary of Biocon Ltd, an innovation led global biopharmaceuticals company. Biocon Biologics is engaged in developing high quality, affordable biosimilars that can expand access to a cutting-edge class of therapies to patients globally. It is uniquely positioned as a fully integrated ‘pure play’ biosimilars organization in the world and aspires to transform patient lives through innovative and inclusive healthcare solutions. The Company has a large portfolio of biosimilars under global clinical development with three of these commercialized in at least one of the developed markets of EU, U.S. and Japan. Biocon Biologics has a product pipeline of 28 molecules, including 11 with Mylan, several with Sandoz and is developing many independently. Biocon Biologics believes that strong partnerships offer enormous opportunities to co-create the future of healthcare, building a patient ecosystem beyond the product, which can transform millions of lives.
KEY RESPONSIBILITIES
We are looking for a strong, accomplished Data Architect who is passionate about data and can help us power and foster a data-driven culture. In this role, you will be partnering closely with feature developers, program managers and data scientists to utilize large volumes of data and translate them into actionable insights.
More specifically you will lead the following responsibilities:
• Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios.
• Development and deployment of new data platforms on multiple cloud technologies
• Use cloud data services for development of Data Platforms
• Author design documents for enterprise solutions
• Build and maintain appropriate Architecture artefacts including Entity Relationship Models, Data dictionary, taxonomy to aid data traceability.
• Create reusable components for rapid development of data platform.
• Assist data scientists and visualization developers in developing and deploying algorithms for all analytics needs.
• Be an active contributor to evolving Data Governance practices and influence the adoption of data standards.
YEAR ONE CRITICAL SUCCESS FACTORS
• Successfully complete project implementations within time, cost and quality standards, in line with business and IT expectations
• Successfully complete implementation of cloud data architecture
• Successfully develop measures that ensure data accuracy, integrity and accessibility
PROFESSIONAL EXPERIENCE / QUALIFICATIONS
• Bachelor’s or Master’s degree in in Computer Science or Engineering OR equivalent years of work experience
• 12+ years of proven experience in architecting and implementing Cloud data lake, Data warehouse platforms, Master data Management, data integration and OLTP database solutions.
• Strong knowledge of industry best practices around data architecture in both cloud based and on prem big data solutions
• Experience of architecting data solution across hybrid (cloud, on premise) data platforms
• A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores
• A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Azure Databricks, Data Lake, other analytics products
• Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalisation, OLAP / OLTP principles and entity relationship analysis
• Prior experience working with Middleware platforms like Mulesoft
• Experience of mapping key Enterprise data entities to business capabilities and applications
• A strong knowledge of horizontal data lineage from source to output
• Comprehensive experience working with SQL Server, Azure SQL, RDS, CosmosDB, MongoDB, PostgreSQL
• Experience working with Serverless and cloud technologies: Azure Functions, AWS Lambda
• Experience with stream processing tools (Spark structured streaming, Azure Stream Analytics, Storm, etc.)
• Experience working with Kinesis, IoT Greengrass, Azure IoT
• Familiarity with Agile / Scrum methodologies
• Excellent verbal and written English skills
• Excellent analytical skills with systematic and structured approach to software design
Biocon Biologics is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, colour, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Biocon Biologics also complies with all applicable national, state and local laws governing non-discrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act.
