Gravity IT Resources
To Apply for this Job Click Here
Job Title: Staff Data Architect
Job Type: Direct hire
Location: Cincinnati Ohio
Work Authorization: US Citizen or Green Card Holder
We are seeking a
Staff Data Architect
to lead our transition from a legacy Redshift warehouse to a modern Data Lakehouse architecture (S3 + Iceberg + Spark). This is a high-impact, hands‑on role where you will design the architecture, write the core frameworks, and mentor a team of 16 engineers to elevate our engineering culture.
The Mission You will own the “Data Layer” strategy. Your mandate is to decouple compute from storage, formalize our governance, and build a scalable identity engine that processes petabytes of data for Enterprise and Agency clients.
What You Will Do
Architect the Future:
Design and implement a raw-to-consumption Data Lakehouse architecture using
AWS S3, Apache Iceberg, and Spark .
Lead the Migration:
Strategize and execute the migration of heavy compute workloads (Identity Resolution, Household Scoring) from Redshift to Spark/EMR.
Code & Standards:
Write the foundational PySpark pipelines and establish “Golden Patterns” for the rest of the team to follow.
Governance & Quality:
implement a centralized Data Catalog, enforce schema validation (no more untyped CSVs), and establish Data Lineage/Audit trails for Enterprise compliance.
Mentorship:
Act as the technical anchor for our engineering team. Run code reviews, introduce CI/CD best practices, and help legacy engineers upskill into modern data engineering.
Cost Optimization:
Monitor and optimize cloud spend, implementing lifecycle rules and choosing the right compute engines for the right workloads.
Who You Are
The Modernizer:
You have taken a company from a monolithic database (Redshift/Postgres) to a distributed Lakehouse before. You know where the bodies are buried in these migrations.
The Pragmatist:
You prefer “boring,” stable technology that works (Iceberg, SQL) over the latest unproven hype. You understand that technology exists to serve the P&L.
The Teacher:
You enjoy explaining complex architectural concepts to engineers who may have never worked in a modern CI/CD production environment.
The Polyglot:
You are fluent in SQL, highly proficient in Python, and comfortable with Infrastructure-as-Code (Terraform/CloudFormation).
Technical Requirements
Experience:
8+ years in Data Engineering, with at least 3 years at a Senior/Staff level.
Core Stack:
Deep expertise in
Apache Iceberg ,
Apache Spark (PySpark) , and
AWS S3 .
Warehousing:
Deep understanding of Redshift (and how to strangle it) and Snowflake.
Orchestration:
Experience with Airflow, Dagster, or similar workflow engines.
Concepts:
Strong grasp of Identity Resolution, Graph Theory, or Probabilistic Matching is a massive plus.
Why Join Now?
Impact:
You won’t be tweaking a button. You will be rebuilding the company’s core IP.
Autonomy:
You will report directly to the CTO and define the technical roadmap.
Stability:
We are profitable and growing, not a desperate startup burning cash.
To Apply for this Job Click Here Equal Employment Opportunity Statement Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.
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We are seeking a
Staff Data Architect
to lead our transition from a legacy Redshift warehouse to a modern Data Lakehouse architecture (S3 + Iceberg + Spark). This is a high-impact, hands‑on role where you will design the architecture, write the core frameworks, and mentor a team of 16 engineers to elevate our engineering culture.
The Mission You will own the “Data Layer” strategy. Your mandate is to decouple compute from storage, formalize our governance, and build a scalable identity engine that processes petabytes of data for Enterprise and Agency clients.
What You Will Do
Architect the Future:
Design and implement a raw-to-consumption Data Lakehouse architecture using
AWS S3, Apache Iceberg, and Spark .
Lead the Migration:
Strategize and execute the migration of heavy compute workloads (Identity Resolution, Household Scoring) from Redshift to Spark/EMR.
Code & Standards:
Write the foundational PySpark pipelines and establish “Golden Patterns” for the rest of the team to follow.
Governance & Quality:
implement a centralized Data Catalog, enforce schema validation (no more untyped CSVs), and establish Data Lineage/Audit trails for Enterprise compliance.
Mentorship:
Act as the technical anchor for our engineering team. Run code reviews, introduce CI/CD best practices, and help legacy engineers upskill into modern data engineering.
Cost Optimization:
Monitor and optimize cloud spend, implementing lifecycle rules and choosing the right compute engines for the right workloads.
Who You Are
The Modernizer:
You have taken a company from a monolithic database (Redshift/Postgres) to a distributed Lakehouse before. You know where the bodies are buried in these migrations.
The Pragmatist:
You prefer “boring,” stable technology that works (Iceberg, SQL) over the latest unproven hype. You understand that technology exists to serve the P&L.
The Teacher:
You enjoy explaining complex architectural concepts to engineers who may have never worked in a modern CI/CD production environment.
The Polyglot:
You are fluent in SQL, highly proficient in Python, and comfortable with Infrastructure-as-Code (Terraform/CloudFormation).
Technical Requirements
Experience:
8+ years in Data Engineering, with at least 3 years at a Senior/Staff level.
Core Stack:
Deep expertise in
Apache Iceberg ,
Apache Spark (PySpark) , and
AWS S3 .
Warehousing:
Deep understanding of Redshift (and how to strangle it) and Snowflake.
Orchestration:
Experience with Airflow, Dagster, or similar workflow engines.
Concepts:
Strong grasp of Identity Resolution, Graph Theory, or Probabilistic Matching is a massive plus.
Why Join Now?
Impact:
You won’t be tweaking a button. You will be rebuilding the company’s core IP.
Autonomy:
You will report directly to the CTO and define the technical roadmap.
Stability:
We are profitable and growing, not a desperate startup burning cash.
To Apply for this Job Click Here Equal Employment Opportunity Statement Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.
#J-18808-Ljbffr