Назад
Company hidden
3 дня назад

Databricks Solutions Architect Senior Manager (Databricks)

149 000 - 239 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Databricks Solutions Architect Senior Manager (Databricks): Designing and delivering modern data engineering and lakehouse solutions for clients with an accent on data architecture, migrations, governance, and performance optimization. Focus on architecting scalable Databricks platforms, leading complex delivery teams, developing client strategies, and solving advanced data engineering challenges across cloud and on-premises environments.

Location: Hybrid work in Chicago, Atlanta, Charlotte, Dallas, Denver, or Houston, United States; in-person work at local offices and client sites is required, with possible local or out-of-state travel.

Salary: $149,000–$239,000 per year. Estimated total cash range: $169,860–$272,460 per year, including a 14% bonus target.

Company

hirify.global is a global consulting firm providing technology consulting, risk management, data and analytics, and business solutions.

What you will do

  • Design and deliver modern data engineering, lakehouse, data warehousing, and data platform solutions using Databricks.
  • Assess existing on-premises and cloud data solutions and develop migration, modernization, and optimization strategies.
  • Lead implementation of ETL processes, data integration, transformation, cleansing, pipelines, databases, and data models.
  • Establish data governance, security, access control, lineage, and data-sharing practices using Unity Catalog and related technologies.
  • Manage project delivery, client relationships, proposals, business development, and communication with senior client stakeholders.
  • Lead, mentor, coach, and develop engagement teams while overseeing work plans, performance, and deliverables.

Requirements

  • Bachelor’s degree in a relevant discipline such as MIS, CIS, or Analytics.
  • 7+ years of experience in professional services or a related industry.
  • Professional Databricks certification is required: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
  • Expertise in SQL and Apache Spark, including PySpark and Spark SQL, with strong experience in data engineering, architecture, modeling, analytics, governance, security, and networking.
  • Experience leading teams, managing projects, mentoring and coaching employees, conducting performance reviews, and communicating risks and solutions to executives.
  • Competency in at least three Databricks technologies, such as Lakehouse architecture, Unity Catalog, Delta Lake, Auto Loader, Lakeflow Declarative Pipelines, Asset Bundles, CI/CD, Databricks SQL, or serverless compute.

Nice to have

  • Databricks Champion designation.
  • Experience with C#, Java, Scala, R, DAX, or MDX.
  • Experience with data science, machine learning, Mosaic AI, MLflow, model serving, or generative AI.

Culture & Benefits

  • Hybrid workplace combining in-person collaboration with remote work, depending on the client, project, team, and business requirements.
  • Collaborative and inclusive environment focused on integrity, innovation, learning, and professional development.
  • Medical, dental, and vision coverage; FSA and HSA accounts; life and accident insurance; and short- and long-term disability coverage.
  • Up to 20 days of Choice Time Off for new hires, up to 11 paid holidays, and up to 10 weeks of paid parental leave.
  • Company 401(k) plan with an employer match of 50% on the first 6% of employee contributions.

Hiring process

  • Employment offers are contingent on successful completion of a background check.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →