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Senior Data Architect

1 month ago

Lakewood, United States Onix Networking Full time
About Onix Networking:

Onix Networking is a trusted cloud consulting company that helps businesses unlock the full potential of their technology with cloud-powered solutions, best-in-class services, and innovative data migration products.

We have over 20 years of experience in cloud consulting, with a depth of technology expertise and IP-driven data and AI solutions that set us apart.

We offer tailored solutions across a wide range of use cases and industries, designed to meet the unique needs of each client.

From advanced cloud security solutions to innovative AI capabilities and data migration products, we have the expertise to deliver exceptional results.

Our global team of experts are the most reliable, talented, and knowledgeable in the industry.


Job Summary:

Onix Networking is seeking an experienced Senior Data Architect/Principal Data Engineer to play a key role in designing and implementing data solutions that meet client business needs and support the overall cloud data architecture.

The ideal candidate will have a strong understanding of Lakehouse Architecture, data modeling, and data management, with a significant focus on data warehouse/Lakehouse design and development.

The candidate will have experience in cloud platforms such as Azure, AWS, and GCP.


Key Responsibilities:


Lead the design, development, and implementation of Lakehouse & data warehouses architecture in a cloud-based data environment that integrates with an overall data architecture.

Work closely with business stakeholders to interpret their data needs and translate them into technical requirements.

Develop and implement data governance policies and procedures.

Ensure data quality and integrity by implementing data testing and validation processes.

Deploy and debug cloud data initiatives as needed in accordance with best practices throughout the development lifecycle.

Manage cloud data environments in accordance with company security guidelines.

Lead the design and build of reusable, repeatable solutions and components for future use.

Lead and mentor a team of data engineers to implement your solution designs.

Stay abreast of current and emerging trends and technologies in the data and AI/ML field.

Educate delivery teams on the implementation of new cloud-based data analytics initiatives, providing associated training as required.

Partner with Delivery, and Support teams to find opportunities to reduce manual effort needed to complete deployments.

Consult on Professional Services Engagements to help our customers design and implement data warehouse solutions.

Lead and develop best practices for the larger data analytics delivery team.

Provide client presentations to review project design, outcomes, and recommendations.

Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.

Lead the orchestration and automation of cloud-based data platforms.


Requirements:

7+ years of experience in Data Architecture, data engineering & analytics in areas such as performance tuning, pipeline integration & infrastructure configuration.

10+ years of consulting experience.

Completed Databricks Data Engineering Professional/Associate certification OR Cloud Certification (Azure, AWS, GCP).

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one.

Deep experience with distributed computing with Spark with knowledge of Spark runtime internals & Spark Structured Streaming.

Working knowledge of MLOps with a strong understanding of essential components of MLOps Architecture to build, train, and deploy models.

Current knowledge across the breadth of Databricks product and platform features.

Familiarity with optimizations for performance and scalability.

Data Pipelining Experience leveraging Databricks Delta Live Tables and Data Built Tool (DBT).

Experience with terraform, Git, CI/CD tools as well as Automation and Integration testing.

Thorough understanding of Databricks Delta, Iceberg, and Hudi.

Experience in best Spark Best Practices & Notebook, Cluster Creation & Configuration.

Ingestion Patterns & Data Quality enforcement techniques within Databricks, Spark, and DLT.

Understanding of Constraints, Expectations, CDC, CDF, SCD Type 1/Type 2.

Understanding of Unity Catalog & DBX Governance/Security Models.

Familiarity with leveraging Databricks REST APIs - Testing and Deployment - SCIM API & DBX CLI.


Education:

Bachelor's Degree or equivalent experience required.


Travel Expectation:

Up to 15%

Onix Networking is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.

We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.