8.0 - 13.0 years

8 - 13 Lacs

Gurgaon, Haryana, India

On-site

In-depth understanding of data warehouse design including dimensional modelling, data vault, star schema, and snowflake schema. Make or adjust designs on the fly with proper justification. Design data models using tools such as Visio or Erwin. Prepare mapping documents and present to ETL and testing teams for implementation. Interact with other architects and business stakeholders to gather, validate requirements, and obtain signoffs. Manage multiple initiatives and projects from start to finish. Maximize value derived from data and analytics. Prioritize data needs and surface critical insights. Enable enterprise data management and ensure data security. Improve performance of Datahub and analytic assets. Provide expertise in data architecture and solution design. Role Requirements and Qualifications: Minimum of 8 years of IT experience, with at least 3 years in information system design or data architecture. Degree in Computer Science, Information Systems, or a related field preferred. Extensive experience in designing and implementing information solutions and database structures. Strong leadership and people management skills, with a track record of motivating teams across cultures. Hands-on experience with data and analytics management programs is a plus. Ability to analyze project and program needs and mobilize cross-functional resources. Strategic thinking, problem-solving, emotional intelligence, cultural awareness, and resilience. Ethical team player with a drive to innovate, deliver, and build strong partnerships. Excellent communicator capable of influencing stakeholders at all levels.

Posted 1 day ago

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Snowflake Data Architect Conntog

7.0 - 10.0 years

20 - 25 Lacs

Pune

Work from Office

Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expertlevel SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelors in Computer Science, Engineering, Information Systems (Masters preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how.

Posted 4 days ago

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