Technology Lead – AWS Data Architect

Veriipro

Richardson (TX)

On-site

USD 130,000 - 190,000

Full time

5 days ago
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Job summary

Veriipro is seeking an experienced Technology Lead / Data Architect to design and implement scalable cloud-based data solutions. You will lead technical teams and own delivery across the SDLC, focusing on Databricks, Snowflake, SQL, Spark, and Scala.

You will collaborate with stakeholders to translate requirements into robust architectures, guide data warehouse design, and ensure solutions are secure and enterprise-aligned. Strong leadership and communication are essential for success.

Qualifications

  • Bachelor's degree or foreign equivalent from an accredited institution.
  • 5+ years IT experience.
  • 5+ years of experience implementing Databricks, AWS/Azure, Scala, Spark, Snowflake, SQL, and Python.
  • 3+ years of experience building Databricks and SQL-based data warehouses.
  • Hands-on experience developing complex transformations using Databricks.
  • Hands-on experience with AWS cloud services.

Responsibilities

  • Design and implement scalable cloud-based data architecture and solutions.
  • Develop and maintain data solutions using Databricks, Snowflake, SQL, Spark, and Scala.
  • Build and optimize Databricks and SQL-based data warehouses following industry best practices.
  • Develop complex data transformations using Databricks.
  • Work hands-on with AWS cloud services and data platforms.
  • Collaborate with business and technical stakeholders to translate requirements into technical solutions.
  • Lead teams in implementing solutions according to defined architecture and design.
  • Ensure adherence to SDLC, Agile, and Lean methodologies.
  • Participate in solution design, development, testing, deployment, and production support.
  • Provide technical leadership, guidance, and code/design reviews.
  • Ensure solutions are scalable, reliable, secure, and aligned with enterprise standards.

Skills

Databricks
Snowflake
SQL
Spark
Scala
Cloud data platforms
Data warehouse architecture

Education

Bachelor's degree or foreign equivalent

Job description

We are seeking an experienced Technology Lead / Data Architect with strong expertise in Databricks, Snowflake, SQL, and cloud data platforms. The candidate will be responsible for designing and implementing scalable data solutions, leading technical teams, and ensuring successful delivery throughout the SDLC.

Key Responsibilities

  • Design and implement scalable cloud-based data architecture and solutions.
  • Develop and maintain data solutions using Databricks, Snowflake, SQL, Spark, and Scala.
  • Build and optimize Databricks and SQL-based data warehouses following industry best practices.
  • Develop complex data transformations using Databricks.
  • Work hands‑on with AWS cloud services and data platforms.
  • Collaborate with business and technical stakeholders to understand requirements and translate them into technical solutions.
  • Lead teams in implementing solutions according to defined architecture and design.
  • Ensure adherence to SDLC, Agile, and Lean development methodologies.
  • Participate in solution design, development, testing, deployment, and production support.
  • Provide technical leadership, guidance, and code/design reviews.
  • Ensure solutions are scalable, reliable, secure, and aligned with enterprise standards.
Required Skills
  • Strong experience with Databricks
  • Strong experience with Snowflake
  • Strong SQL skills
  • Experience with Spark and Scala
  • Experience designing and implementing cloud data platforms
  • Experience with data warehouse architecture and development
Required Experience
  • Bachelor's degree or foreign equivalent from an accredited institution; alternatively, three years of progressive experience in the specialty may substitute for each year of education.
  • 5+ years of IT experience.
  • 5+ years of experience implementing Databricks, AWS/Azure, Scala, Spark, Snowflake, SQL, and Python.
  • 3+ years of experience building Databricks and SQL-based data warehouses.
  • Hands‑on experience developing complex transformations using Databricks.
  • Hands‑on experience with AWS/AWS Cloud.
  • Strong understanding of SDLC and Agile/Lean methodologies.
  • Experience leading technical teams through solution implementation.
  • Strong communication, problem-solving, and technical leadership skills.
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