Seventh Contact Hiring Solutions
Website:
seventhcontact.com
Company:
https://www.linkedin.com/company/seventh-contact-hiring-solutions
Seniority: Mid-Senior level
Industries: Staffing and Recruiting
Job details:
Position: -Snowflake Data Architect / Lead Data Engineer
Experience: 7 - 12 Years
Role: Individual Contributor + Project Lead
Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering,
or a related field.
What You'll Do
Lead end-to-end design, build, and delivery of enterprise data platforms —
lakehouse
architectures, cloud data warehouses, and analytics solutions for regulated
industries
(banking/financial services preferred). You'll own the solution architecture,
guide a team of
engineers, and be the technical authority on client engagements.
Key Responsibilities: -
● Architect and deliver enterprise lakehouse and data warehouse solutions on AWS
(S3, Glue, EMR, Redshift) with Snowflake as the core analytical engine.
● Design multi-zone data lake architectures (Bronze / Silver / Gold) using open
table
formats (Delta Lake, Apache Iceberg) with ACID compliance and schema
evolution.
● Build and optimise data pipelines — batch, CDC, and real-time streaming — using
tools like AWS DMS, Glue Spark, MSK (Kafka), dbt, and Step Functions/Airflow.
● Define data models: Data Vault 2.0 for integration layers, dimensional
star/snowflake schemas for consumption, and semantic layers for enterprise BI.
● Implement data governance frameworks — cataloguing, lineage, data quality
(Great Expectations or equivalent), MDM, and BCBS 239 / regulatory compliance
controls.
● Lead solution design workshops, produce architecture documents, and present to
C-level and steering committees.
● Mentor and technically guide a team of 4–6 data engineers across delivery
phases.
● Manage stakeholder expectations, delivery timelines, and quality gates on
engagements sized at 6–12+ months.
Must-Have
● 7–10 years in data engineering / data architecture roles, with at least 4 years
on
Snowflake (Enterprise or Business Critical edition).
● Strong hands-on experience with AWS data services — S3, Glue, EMR, Redshift,
DMS, Lambda, Step Functions, IAM, KMS.
● Proven delivery of at least 2 large-scale data platform implementations (50+
users,
10+ source integrations, TB-scale).
● Deep expertise in SQL, Python/PySpark, and data modelling (Data Vault, star
schema, bi-temporal).
● Experience with ETL/ELT orchestration tools — dbt, Airflow (MWAA), or
equivalent.
● Working knowledge of data governance, data quality frameworks, and metadata
management.
● Ability to produce solution architecture documents, cost estimates, and
technical
proposals.
● Excellent communication — comfortable leading client-facing discussions and
presenting to senior leadership.
Good to Have
● Experience in banking, financial services, or other regulated industries
(RBI/RMA
compliance, PCI DSS, ISO 27001).
● Exposure to AI/ML platforms — SageMaker, MLOps, Feature Stores, or GenAI
(Bedrock/RAG).
● Snowflake certifications (SnowPro Advanced: Architect or Data Engineer).
● AWS Solutions Architect or Data Analytics Specialty certification.
● Experience with Oracle Analytics Cloud, Power BI, or Tableau for enterprise BI
delivery.
● Familiarity with DevSecOps, CI/CD for data pipelines, and infrastructure-as-
code
(Terraform/CloudFormation).
● Prior experience with historical data migration and source-to-target
Click on Apply to know more.
