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REMOTE: Lead Consultant
1 month ago
Job#: 2035859
Job Description:
LEAD CONSULTANT (DATABRICKS LEAD)
JOB DESCRIPTION
Apex is seeking a dynamic Lead Consultant with strong consultative skills to serve as a Databricks Lead within US & Canada practice as part of Apex Systems Solutions Delivery Organization. This role will serve on project teams with Apex clients to design and deliver cloud-based data and analytics platforms with Databricks at the core. This role will also provide technical subject matter expertise for Apex sales and account teams during the scoping of new cloud-data platform opportunities.
RESPONSIBILITIES
Lead the design and delivery of Apex’s Data Platform Modernization approach and framework with clients in various stages of cloud-data maturity.
Develop solution architectures, data migration and integration plans, and new features within a Databricks-based environment.
Advise clients on Databricks architecture best practices and leverage the strengths of the platform to meet the specific requirements and use cases around architecture, standards and governance, and ensure flexibility and scalability of the solution.
Advise and architect other elements of the Data Platform Modernization approach & architecture – including Databricks and Azure owned products
Streaming/Batch data pipeline/engineering architectures
Build strong client, industry, and technical community relationships and represent Apex Systems as leaders in Industry and Professional events and communities. Develop and maintain strong internal and external customer relationships
Demonstrate strong technical knowledge and implementation skills. Stay current on relevant technology trends and practices. Build trust and respect among internal and external stakeholders and demonstrate collaborative teamwork.
Produce high quality deliverables, meet project deadlines, and take responsibility for engagement success. Demonstrate a passion for quality and process improvement
Demonstrate professional level consulting skills and communication/presentation skills.
Continually innovate, seek creative solutions, and find new ways of adding value. Listen and seek to understand the client and meet their needs, providing consultative guidance. Stay attuned to the future needs of the client and work with internal resources to identify opportunities. Proactively provide solutions and approach adversity with a solution-focused mindset
Identify and evaluate new team members through professional networking and technical screening
Support Apex industry and solutions team in data pre-sales opportunities and client meetings
JOB REQUIREMENTS
7+ years of experience in enterprise data and analytics architecture and/or development with 3+ years designing cloud-based solutions primarily leveraging Databricks
Adept at leveraging Azure services which complement Databricks in a Modern Data Platform setting (i.e. services related to data ingress, storage, engineering and analytics)
Had led end-to-end migrations of data warehouse environments to Databricks.
Developed and optimized streaming data pipelines and enterprise infrastructure
Has implemented Databricks functionality specific to role-based access control (RBAC), data masking, and governance.
Preferred prior experience working at Databricks or with Databricks professional services directly
Preferred experience working with Databricks Unity Catalog
Preferred Storage & Compute Optimization – partitions, clusters
Preferred ML implementation/knowledge
Experienced with working with teams of developers and other technical professionals in an Agile delivery framework
Positive relationship builder able to navigate through complex situations to ensure the most robust and pragmatic solution
Strong analytical skills and the aptitude to quickly identify gaps and risks
Excellent written and spoken communication skills including the ability to help stakeholders navigate the trade-offs and alternatives to various solution architectures
BA/BS required, preferably in Computer Information Systems, Computer Science, or related fields (applicable education and experience may be substituted)
Advanced degree (MS) in a quantitative discipline preferred (applicable experience may be substituted)
3+ years experience of data architecture and engineering in the Energy industry required (oil and gas preferred)
Expert-level understanding of enterprise data and analytics concepts like relational-data modelling, data integration, business intelligence and data-platform modernization (i.e. migrating from legacy technology environments to cloud-based platforms)
Experience and proficiency with big data engineering languages (Java, Spark, Scala, Pyspark, Python, and SQL)
Experience with Medallion lakehouse data architecture implementation
Enterprise data modeling experience (Inman & Kimball) and leadership (standards and best practices and guidance)
Experience with Azure native services
Experience with storage & compute optimization of partitions and clusters in Databricks
Databricks Unity Catalog experience a nice to have
Streaming of data pipelines / engineering architecture nice to have
Familiar with DataOps concepts and tooling for source control and CI/CD pipelines
Hands on experience with Databricks and willingness to grow capabilities
Preferred Databricks technical certification but experience may be substituted
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