Senior Architect – Data Engineering (Databricks)
New
J
JobgetherData engineering
Remote working opportunities within India.ContractSenior
Salary not disclosed
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Job Details
- Experience
- At least 10 years of professional experience in data engineering, data architecture, or related technology disciplines. Minimum of 6 years of extensive hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog.
- Required Skills
- Databricks
Requirements
- At least 10 years of professional experience in data engineering, data architecture, or related technology disciplines.
- At least 6 years of hands-on Databricks experience, including Delta Lake, Delta Live Tables, and Unity Catalog.
- Expertise in designing and implementing enterprise-scale data architectures and modern data engineering solutions.
- Deep understanding of Databricks data engineering, governance, security, and Lakehouse capabilities.
- Mastery of Big Data platforms, cloud data warehouses, and object-oriented programming principles.
- Knowledge of NoSQL databases, container management technologies, and AI/ML tools.
- Experience delivering data and AI platform solutions for complex business requirements.
- Experience leading large-scale data migrations and modernizations, especially legacy data warehouse transformations to Databricks Lakehouse.
- Experience managing complex Databricks implementation and delivery projects, technical leadership, and team coordination.
- Experience leading pre-sales and business development, including solution design, technical proposals, client presentations, and SOW development.
- Strong consulting, stakeholder management, project management, risk management, budgeting, and resource-planning capabilities.
- Leadership and mentoring skills, with a business-oriented focus on client outcomes.
- Databricks Certified Data Engineer Professional certification is preferred.
Responsibilities
- Design, develop, and oversee enterprise data architecture solutions using Databricks, Delta Lake, Delta Live Tables, Unity Catalog, and Apache Iceberg.
- Establish technical standards, share expertise, and lead strategic initiatives for the Databricks Center of Excellence.
- Guide data architects and engineering teams, aligning solutions with client objectives, business requirements, scalability, and performance expectations.
- Advise clients on data strategy, digital transformation, and adoption of modern cloud-based data platforms.
- Lead Databricks pre-sales engagements and develop technical proposals, solution architectures, statements of work, and strategic recommendations.
- Lead large-scale Databricks implementation, migration, and modernization projects, including legacy data warehouse transformations.
- Oversee project planning, budgets, deliverables, timelines, dependencies, and risks with client and executive stakeholders.
- Identify emerging technologies and architectural approaches in data engineering, cloud platforms, and AI/ML.
- Mentor technical professionals and collaborate with sales, recruitment, account management, consulting, and operations teams to grow the practice.
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