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Databricks Lead/Architect with GCP
LinkedIn Recruiter Post
Databricks Lead/Architect role focusing on GCP integration, scalable data platform architecture, and technical leadership for data engineering teams.
About the role
- Enterprise Architect responsible for defining and advancing BMO's data, analytics, and AI architecture vision. Leading technical innovations across data platforms, advanced analytics, and machine learning.
Responsibilities
- Define and evolve enterprise data, analytics, and AI architecture standards, target and reference architectures.
- Design and guide end-to-end architectures covering data ingestion, analytics, ML, and AI platforms.
- Be a technical leader viewed as a thought leader for innovation in data, machine learning, and AI areas.
- Identify and research data, analytics, and AI relevant technologies, perform proofs of concept / prototypes, and recommend the applications of such technologies for future product architecture.
- Create and grow architectural capability across the organization.
- Develop and maintain strong working relationships with internal stakeholders in enterprise, technology, and business groups.
- Stay abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning.
- Provide architectural expertise and domain knowledge to advise and guide senior leaders.
- Ensure governance, risk management, and regulatory compliance.
Requirements
- Typically 10 - 15+ years of relevant experience
- Post-secondary degree in related field of study or an equivalent combination of education and experience
- Solid hands-on working experience on cloud platforms and enterprise-scale solutions
- Solid knowledge of Architecture & Integration: APIs, microservices, cloud-native architectures, enterprise architecture frameworks (e.g., TOGAF)
- Experience with Azure cloud services: Microsoft Azure (Power BI, Microsoft Fabric)
- Experience with AWS cloud services: AWS (EC2, EMR, RDS, Redshift, Glue)
- Experience with Data Platforms: Enterprise Data Warehouses, Big Data platforms (Hadoop, Spark), Streaming platforms (Kafka, Spark Streaming)
- Experience with Analytics & BI: Power BI, SQL-based analytics, enterprise reporting and visualization tools
- Experience with AI & Machine Learning: Python, TensorFlow, PyTorch, machine learning model lifecycle management, MLOps tools
- Experience with Data Governance & Management: Data Quality, Data Lineage, Metadata Management, Master Data Management, Data Management Capability Assessment Model (DCAM)
- Analytical and problem-solving skills - In-depth / Expert
- Verbal & written communication skills - In-depth / Expert
- Influence skills - In-depth / Expert
- Passion for technology &/or domains; Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert
- Able to manage ambiguity
- Data driven decision making - In-depth / Expert.
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
- Performance-based incentives
- Discretionary bonuses
- Other perks and rewards
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