Technical Project Manager - IT
# Technical Project Manager - IT **Kalpita Technologies** · Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: 2 дня назад* · *Источник: Indeed* --- ### About the Role Posted on: 13-10-2026 Experience: 8+ years India-Bengaluru Job ID #1002278 Role Requirements - Skills: Data Engineering, Data Analytics, Business Intelligence, Data Warehousing, Data Lakes, ETL/ELT, Informatica, Talend, Azure Data Factory, SSIS, AWS, Azure, GCP, Redshift, Snowflake, BigQuery, Azure Synapse, SQL, RDBMS, NoSQL, Data Modeling, Power BI, Tableau, Looker, Agile/Scrum, Jira, Azure DevOps, Data Governance, Data Security, Compliance, Master Data Management, Spark, Hadoop, Databricks - Own end-to-end delivery of data and analytics projects, ensuring timely and high-quality outcomes aligned with business goals. - Manage multiple Agile workstreams, including data engineering, BI, reporting, and platform modernization initiatives. - Develop detailed project plans, track milestones, and proactively mitigate risks and dependencies. - Monitor sprint execution, track velocity, and report on program health and delivery metrics. - Ensure governance, compliance, and data quality standards are maintained across initiatives. - Partner with business stakeholders to gather and translate data, reporting, and analytics requirements into actionable user stories and epics. - Work closely with data architects, engineers, and analysts to validate technical feasibility and solution design. - Conduct impact analysis, data flow mapping, and gap assessments. - Ensure clear traceability of requirements from design through deployment. - Manage prioritization of data-related incidents, enhancements, and change requests. - Oversee implementation and optimization of data pipelines and ETL/ELT processes. - Manage projects involving data warehouses, data lakes, and cloud data platforms. - Ensure best practices in data governance, security, performance optimization, and scalability. - Coordinate DevOps and CI/CD processes for data deployments. - Monitor data quality frameworks and performance metrics. - Support pre-sales activities by defining data solution scope, architecture approach, timelines, and effort estimation. - Participate in client discussions, RFP/RFI responses, and proposal presentations for data and analytics engagements. - Provide delivery feasibility assessments and risk mitigation strategies during solution shaping. - Lead cross-functional teams, including data engineers, BI developers, analysts, architects, and QA teams. - Foster collaboration between onsite and offshore teams. - Mentor team members and support capability building in emerging data technologies. - Promote a culture of accountability, innovation, and continuous improvement. - Have at least 3+ years of experience managing data engineering or analytics programs. - Demonstrate strong experience managing large-scale data initiatives, including data warehousing, data lakes, BI, and advanced analytics. - Have experience managing distributed or multi-vendor teams. - PMP, CSM, or equivalent certification is a plus. - Exposure to AI/ML project coordination and knowledge of data cataloging and metadata management tools are preferred. - Demonstrate strong analytical and strategic thinking, communication, stakeholder management, decision-making, and problem-solving skills. - Ability to manage ambiguity and evolving priorities in fast-paced environments.
Наблюдалась 2026-10-15, впервые 2026-10-13, источник — Indeed.