Data Modeler/Data Architect with Databricks - Empower (remote/virtual, based in the US)

Company Description

Company Overview

Hitachi Solutions is a global solutions integrator, dedicated to designing, developing, and delivering innovative cloud solutions to support our clients to innovate across their entire businesses. We create the business services and technology which power some of the products you use daily and have strong relationships with Microsoft and other leaders in the cloud computing industry. 

What distinguishes Hitachi Solutions is our industry focus and the intellectual property we offer our customers. Year after year, we are recognized for our accomplishments. We aim to be the trusted advisor of large and medium-sized businesses, assisting them swiftly in achieving strategic business goals through distinguished engineering, diligence, and empathy. Our company, over our 18-year history, has seen explosive growth and high customer satisfaction, supplementing our 3,000-strong team across 14 countries. This success enables us to offer highly competitive salaries, 401k match, family leave, and health benefits without demanding in-office presence or rigid work schedules.

As part of Hitachi, Ltd., our company benefits from the long history of innovation, financial strength, and international reach of one of the world’s largest corporations. Since 1910, Hitachi, Ltd. has been at the forefront of creating groundbreaking products and solutions that bolster industry and social infrastructure worldwide. This initiative is supported by 303,000 employees, spanning over 100 countries and 864 companies.

Job Description

Please note:  This is a remote career opportunity; however, candidates MUST reside in the United States and be authorized to work without sponsorship.

This is a full-time role in our New Product organization for professionals with a track record of execution and a desire for rapid expansion within a product organization.  We are seeking a Senior Data Architect with substantial experience in data definition, modeling, and implementation.  

This hands-on architect role entails overall design of solutions within our data ecosystem that serves our customers. The successful candidate must have experience in designing data schemas using Kimball/Dimensional modeling and pipelines in Databricks for data warehouses/lakehouses and reporting systems, evaluating diverse technologies and technical solutions, and contributing hands-on to achieving engineering goals for multiple engineering teams. Additionally, as a technical leader within the team, you are expected to mentor and coach your team members. The ideal candidate will have previous experience as either a team lead or manager. 

Responsibilities

• Independently scope and execute tasks. Collaborate with the product team to understand platform capabilities and leverage them to manage the customer’s data estate. 
• Identify and articulate the technical and operational requirements for data pipelines and the models they populate; optimize these pipelines for high performance/resilient workloads. 
• Drive excellence in the team's processes, methodologies, standards, and technology choices and instill these values in customer teams and junior staff. 
• Lead requirements discovery and delivery workshops – help customers understand their options and guide them to the best ones. 
• Be an advocate for the customers, and support delivery leadership (Director, VPs) in managing client expectations. 
• Prioritize continuous learning to keep the team and customers informed about the latest developments in the industry.
• Enjoy teaching and developing technical maturity across the company. 
• Experience in supporting analytics, data science, and/or engineering teams and understanding their unique needs and challenges.

Qualifications

• Minimum 8 years overall professional experience including at least 4 years’ experience in designing high-scale, Big Data, Data lakehouse Solutions is REQUIRED 
• At least 4 years' experience in data modeling (Kimball/Dimensional modeling), schema design patterns, and modern data access patterns (API, streams, data lake) is REQUIRED
• Proven leadership skills and at least 2 years’ experience dealing directly with clients (client facing) to collect requirements and manage a technical data backlog is REQUIRED. Excellent interpersonal skills, both written and spoken, with a collaborative style are also essential.
• At least 2 years of practical experience with Databricks and Spark framework is REQUIRED
• At least 2 years of experience with SQL, confident with complex queries and joins is REQUIRED; familiarity with UDF and/or Stored Procedure development is HIGHLY DESIRED
• At least 2 years of experience with Azure Data Services including Azure Data Factory, ADLS, and Synapse is HIGHLY DESIRED; significant experience with AWS or another major cloud platform will be considered as a substitute for Azure proficiency.

#REMOTE

#LI-CA1

#azure

#databricks

#datalakehouse

#datamodeling

Additional Information

We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Base Salary Pay Range*: USD $115,000 – USD $210,000

*This range for the base salary pay is only a general guideline and does not serve as a guarantee of pay or . Salary offers also factor in responsibilities of the job, educational background, experience, knowledge, skills relevant to the role, internal company equity, alignment with market data, and recurring legal requirements. 

Other Compensation / Benefit Overview

In addition to the base salary, the successful candidate may be eligible to enjoy the following plans/programs after satisfying all hiring requirements:

• Bonus Plan
• Medical, Dental, and Vision Coverage
• Life Insurance and Disability Programs
• Retirement Savings with Company Match
• Paid Time Off
• Flexible Work Arrangements including Remote Work