Practice Lead

2 days ago

New Delhi, India Optimum Solutions Pte Ltd Full time

Job Title: Data Platform Practice Lead Location: Pune Experience: 12+ years in Data Engineering / Data Platform Management About the Role: We are looking for an experiencedData Platform Practice Leadto drive the strategic vision, design, and implementation of our enterprise data platform initiatives. The ideal candidate will combine strong leadership skills with deep technical expertise across data engineering, cloud platforms, and analytics, to build scalable, secure, and high-performing data ecosystems.Key Responsibilities: Lead and grow the Data Platform practice, including defining strategy, architecture standards, and technology roadmap. Oversee the design and development of end-to-end data solutions — ingestion, storage, processing, and delivery. Collaborate with business stakeholders, and analysts to translate business requirements into technical solutions. Evaluate, select, and implement modern data technologies, tools, and frameworks (e.g., Databricks, Snowflake, Azure Synapse, AWS Redshift, Google BigQuery). Establish governance, quality, and security standards across all data platforms. Lead large-scale data modernization, migration, and cloud adoption programs. Mentor and guide data engineers, architects, and analysts to build technical excellence within the practice. Manage delivery of multiple data projects, ensuring alignment with business goals and timelines.Required Skills & Experience: 12+ yearsof experience in data engineering, data architecture, or related fields. 5+ yearsin a leadership or practice lead role managing teams and strategic initiatives. Strong expertise incloud data platforms(Azure, AWS, or GCP). Proven experience withdata lake ,data warehouse , andETL/ELTarchitectures. Hands-on experience with tools such asDatabricks, Snowflake, Apache Spark, Kafka, Airflow , etc. Knowledge ofdata governance ,security , andmetadata managementframeworks. Familiarity withDevOps ,CI/CD , andDataOpspractices. Excellent communication, stakeholder management, and leadership skills.Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. Certifications in cloud platforms (e.g.,AWS Data Analytics Specialty ,Azure Data Engineer ,GCP Professional Data Engineer ). Experience in implementingAI/ML data pipelinesorreal-time analyticssolutions.What We Offer: Opportunity to lead a high-impact data transformation practice. Exposure to cutting-edge cloud and data technologies. Collaborative environment with a strong focus on innovation and learning.

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