AVP - Databricks & Data Architecture Impetus Career Consultants

14.0 - 18.0 years

0 Lacs

karnataka

On-site

As the AVP Databricks Squad Delivery Lead, you will play a crucial role in overseeing project delivery, team leadership, architecture reviews, and client engagement. Your primary responsibility will be to optimize Databricks implementations across cloud platforms such as AWS, Azure, and GCP, while leading cross-functional teams. You will lead and manage the end-to-end delivery of Databricks-based solutions. Your expertise as a subject matter expert (SME) in Databricks architecture, implementation, and optimization will be essential. Collaborating with architects and engineers, you will design scalable data pipelines and analytics platforms. Additionally, you will oversee Databricks workspace setup, performance tuning, and cost optimization. Acting as the primary point of contact for client stakeholders, you will ensure effective communication and alignment between business goals and technical solutions. Driving innovation within the team, you will implement best practices, tools, and technologies to enhance project delivery. The ideal candidate should possess a Bachelor's degree in Computer Science, Engineering, or equivalent (Masters or MBA preferred). Hands-on experience in delivering data engineering/analytics projects using Databricks and managing cloud-based data pipelines on AWS, Azure, or GCP is a must. Strong leadership skills and excellent client-facing communication are essential for this role. Preferred skills include proficiency with Spark, Delta Lake, MLflow, and distributed computing. Expertise in data engineering concepts such as ETL, data lakes, and data warehousing is highly desirable. Certifications in Databricks or cloud platforms (AWS/Azure/GCP) and Agile/Scrum or PMP certification are considered advantageous.,

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Project Manager (Data & Analytics) Tranzmeo

3.0 - 7.0 years

0 Lacs

kochi, kerala

On-site

We are seeking an experienced Project Manager specializing in Data & Analytics to oversee and supervise data-driven projects spanning various business domains. The successful candidate will possess significant expertise in managing projects related to data engineering, business intelligence, and analytics, demonstrating a track record of collaborating effectively with technical and business stakeholders to deliver impactful solutions within specified timeframes and budgets. Key Responsibilities: - Lead the end-to-end project management of data and analytics initiatives. - Define project scope, objectives, deliverables, schedules, and resource allocations. - Collaborate closely with data engineers, data scientists, analysts, and business stakeholders. - Proactively manage project risks, issues, and dependencies. - Ensure quality assurance, timely reporting, and documentation throughout the project life cycle. - Provide regular updates on project status, milestones, and issues to leadership and stakeholders. - Facilitate Agile/Scrum ceremonies and ensure the timely delivery of sprint objectives. - Coordinate activities across cross-functional teams to align with business goals. - Monitor key performance indicators (KPIs), return on investment (ROI), and the business impact of analytics solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Possession of PMP/PRINCE2 certification is advantageous. - Minimum of 6 years of overall experience, with at least 3 years in the management of data analytics or data engineering projects. - Solid understanding of AI, data warehousing, ETL pipelines, data visualization, and analytics platforms. - Hands-on experience with tools and technologies such as SQL, Power BI/Tableau, Python/R (preferable), and cloud data platforms (AWS/GCP/Azure). - Proficient in project management practices encompassing planning, budgeting, and stakeholder engagement.,

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