Senior Data Modeler (Databricks)

About the role

Clarkston Consulting is seeking motivated, self-driven leaders to join a firm that values its culture and people as its biggest strengths. As a Senior Data Modeler, you will deliver creative business solutions to market-leading clients in the life sciences, consumer products, and retail industries.

Responsibilities

• Serve our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
• Serve in a lead capacity on client initiatives
• Ensure optimal data delivery architecture is consistent throughout ongoing projects
• Be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
• Be excited by the prospect of building our company's data engineering capabilities to support our next generation of products and data initiatives
• Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
• Assist in defining client solutions and support managing their delivery

How You'll Grow

• Receive the support and mentorship of your Clarkston colleagues and leaders
• Expand your existing skillset with internal and external professional development opportunities

Requirements

• An ideal Senior Data Modeler candidate would have experience:
• Re-engineering one or more modules and associated reports within Databricks environment
• Documenting existing data models and designing the future state data models and architecture, following the set guidelines and standards
• Analyzing existing data models, reports and analysis
• Owning delivery of data products specific to a module or functional area
• Designing and developing data models and transformations using notebooks and pipelines within Azure Databricks
• Serving in role of a hands-on Data Engineer
• Applying expertise in Databricks, Azure Data Factory, SQL, PySpark, and Python
• Developing data management solutions using data lake platform tools and technologies
• Assembling large, complex data sets that meet functional / non-functional business requirements
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data' technologies
• Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Working with stakeholders including the Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Working with stakeholders including the Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications

• 3+ years of experience in a Data Modeler role
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with Azure or AWS cloud services
• Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field