Company Description
**Company Overview**
Hitachi Solutions is a global solutions integrator passionate about designing, developing, and delivering cutting edge cloud solutions to help our clients innovative across their entire business. Our firm develops the business services and technology powering some of the products you use every day - and is closely aligned with Microsoft and other leaders in the cloud computing space.
What sets Hitachi Solutions apart is both our industry focus, and the intellectual property that we bring to our customers. Recognized for our achievements year after year, we strive to be the trusted advisor of large and medium sized enterprises alike - helping them move fast to achieve strategic business initiatives with distinguished engineering, hard work, and compassion. With over 3,000 team members across 14 countries, in our 18 years of focus our company has seen explosive growth and high customer satisfaction. This has allowed us to offer exceptionally compelling salaries, 401k match, family leave, and health benefits. And no - we will not make you come into an office or ask for an inflexible work schedule.
A part of Hitachi, Ltd., our company has a long and rich history of innovation, financial strength, and international presence of one of the world's largest companies. Since 1910, Hitachi, Ltd. has been a leader in manufacturing innovative products and solutions that support industry and social infrastructure around the globe supported by 303,000 employees in over 100 countries and across 864 companies.
**Job Description**:
**_
This is a full-time role in our New Product organization for professionals with a proven history of execution, and a desire to rapidly expand a product organization. Our team is seeking a Senior Data Architect, with a strong background in data definition, modeling, and implementation.
**Responsibilities**
- Scope and execute with independence. Work with the product team to understand platform capabilities and leverage those capabilities to bring customer's data estate.
- Identify and articulate technical and operational requirements for data pipelines and the models they populate; be able to optimize these pipelines for high performance/resiliency workloads.
- Instill excellence into the processes, methodologies, standards and technology choices embraced by the team with customer teams, and junior staff.
- Lead requirements discovery and delivery workshops - helping customers understand their options and guiding them to the best options.
- Be an advocate for the customer, and support delivery leadership (Director, VPs) in managing client expectations.
- Dedicate time to continuous learning to keep the team and customers appraised of the latest developments in the space.
- A committed teacher and someone who enjoys developing technical maturity across the company.
- Experience supporting analytics, data science and/or engineering teams and understand their unique needs and challenges.
**Qualifications**:
- 8+ overall years of professional experience including 4+ years' experience in designing high-scale, Big Data, Datalakehouse Solutions is **REQUIRED**:
- 4+ years of experience with data modeling (Kimball/Dimensional modeling), schema design patterns and modern data access patterns (including API, streams, data lake) is **REQUIRED**:
- 2+ years as a proven leader interacting with customers (client facing) to collect requirements and manage a technical data backlog is **REQUIRED**; therefore you must have excellent interpersonal skills, both written and spoken, as well as a consultative/collaborative style.
- 2+ years with Databricks and Spark framework are **REQUIRED**:
- 2+ years of experience with SQL, knowledgeable in complex queries and joins is **REQUIRED**; experience with UDF and/or Stored Procedure development is HIGHLY DESIRED
- 2+ years Azure Data Services including Azure Data Factory, ADLS, and Synapse is **HIGHLY DESIRED**; strong experience with AWS or other major cloud platform will be considered in lieu of Azure.
REMOTE
LI-CA1
azure
databricks
datalakehouse
datamodeling
latamjobs
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._**
**Beware of scams