Global Data Solutions Architect
2 days ago
Are you a seasoned professional seeking a challenging role as a Data Architect? CIPL - Corporate Infotech Pvt Ltd is looking for an experienced individual to drive innovation, architect scalable solutions, and collaborate with our dynamic team to create next-level digital experiences.
Job Summary
We are seeking a talented Data Architect to join our team. The ideal candidate will have 7 years of experience in designing and implementing scalable data architectures, driving business growth through data-driven insights, and collaborating with cross-functional teams to achieve project goals.
About the Role
- Define and execute a global analytics and data science technical strategy, architecture, and roadmap to deliver on tactical and strategic initiatives partnering with business and IT leaders to deliver data insight to actionable outcomes.
- Build and manage the data on-boarding, data platform operations, analytics tools, and visualization technologies. Setting the strategy and creating the team.
- Collaborate extensively with the business to drive incremental value and innovation through the adoption of analytics and data science techniques. Identify, prioritize, and socialize strategies and roadmaps for actionable outcomes.
- Mature and innovate data lake platforms and scale them to support complex use cases of patient care.
- Enable the organization to focus on continuous operational excellence, analytics architecture evolution, and high-value technology selection decisions with transparency to business leaders.
- Chair the monthly analytics steering committee and executive stakeholder engagement to ensure alignment on requirements and delivery expectations.
- Strong understanding of the analytics development lifecycle from requirements, logical and physical data model design, implementation, testing, deployment, and support.
- Drive data literacy, art of the possible, and develop support for investments as part of the AOP planning cycle.
- Partner with Architecture and Data Governance teams on solution analysis, business requirements, cost-benefit analysis, risk assessment, and business impact analysis.
- Represent the organization as a thought leader on enterprise analytics and data intelligence with strategic engagement partners and industry forums.
- Develop and maintain program, project, and operational reporting to demonstrate quality execution of project commitments (budget, benefits, etc.) and adherence to service level commitments.
- Hands-on management of cloud-hosted and SaaS vendors. Ensure all activity is delivered in compliance with normal policies, procedures, technology standards, security requirements, etc.
- Develop and integrate metrics into support, enhancements, and projects that clearly demonstrate the value of IT to the business.
- Hands-on experience in "Big Data" technologies such as Hadoop, Hive, Kafka, and Spark, as well as a general understanding of the fundamentals of distributed data processing (data lakes, ETL/data warehousing, DB design).
- Extensive data analysis experience with Agile, Waterfall Methodologies, and Scrum Project Management, Program Management, Master Data Management, Product Owner, Software Development Life Cycle phases from Requirement Gathering, Analysis, Design, Development, Implementation, Integration, and Data Migration from legacy systems to NOSQL and RDBMS Applications.
- Extensive experience in performing various roles as Data Architect, Modeler, Developer, Data and ETL Modeler, and Data Analyst, Agile Project Manager, Product Manager, Program Manager, Technical Team Lead, ETL Architect, and Analyst. Must have managed multiple projects with OLAP, OLTP, ODS, EDW, MDM, Data Lake, Data Vault, Data Governance, Data Profiling, Cleaning, Defining and designing Anchor Modeling, Focal Point Data models.
- Experience in Coordinating with RDBMS, Hadoop, Web Services, AWS, S3, EC2, Dynamo DB, SOA, REST API, SAP HANA, ETL Development trams, Implementing Single Sign On Architecture.
- Expert in designing and implementing Star, Snowflake, and Galaxy Schema Models.
- Worked extensively with Cassandra DB, Teradata, DB2, Oracle, MySQL, SQL Server, Sybase, AWS Redshift, S3, EC2, Snowflake, and PostgreSQL, MS Azure, COSMOS DB.
- Extensively involved with Application Development, Middleware, Servers, Storage analysis, Database management, Technical and functional Operations of the Business at Enterprise Level.
- Established Data extraction methodology for Oracle, SQL Server, and MySQL to migrate Bigdata and Hadoop, Snowflake Cloud DB, Time Travel, Zero Cloning.
- Hands-on experience and strong proficiency with either Scala, Python, or Java.
- Cloud technologies experience/knowledge is a plus (GCP, AWS, Azure).
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